Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As a Product Data Specialist(Temp Only), you will be responsible for creating, modifying, and maintaining accurate and consistent Bills of Materials (BOM) and routings for all products (new and existing) while having a thorough understanding of impact resulting from changes to support material requirements, costs, order management, and manufacturing. The impact you'll make: Collaborate with Project Managers (PM's) to build project timelines focusing on BOM set-up and commercial deliverables to ensure a timely execution of product. Develop and execute against project plans and critical deadlines setforth by PM's. Carry out the NPD tasks associated with each SKU set up using Winshuttle and PoweBI. Keep track of progress and priorities for the overall cross functional teams handling BOM initiatives. Track BOM issues, communicate the issues with all groups, and facilitate discussions related to BOM accuracy to achieve resolution. Daily Follow-ups with stakeholders about priorities and progress of BOM set-up. Support and analyze all change requests to assess each level of the BOM and documents its impact in accordance with the requested change. Develop and maintain BOM related knowledge and capability in line with best practices, systems, and processes. Understanding of procurement, packaging engineering, finance, accounting and manufacturing processes. Management of 3D Renditions of packaging for commercial activation. Maintain tool and carry out tasks that facilitates the work of the cross-functional NPD teams by providing organization, transparency, effective communication, and coordination. Ability to understand how our products are linked between cross-functional teams, co-packers, flavor houses, material vendors, etc. Who you are: Prefer a Bachelor's Degree in the field of -- Business, Supply Chain, or related field. Additional Experience Desired: Minimum 1 year of experience in the Consumer Packaged Goods (CPG) industry. Additional Experience Desired: Minimum 1 year of experience in creating and managing complex BOMs in a manufacturing environment. Computer Skills Desired: Highly proficient with Microsoft Office Suite and SAP. Familiar with Winshuttle and/or PowerBI. Preferred Certifications: N/A Additional Knowledge or Skills to be Successful in this role: Expertise in product development data management. Monster Energy provides a competitive total compensation. This position has an estimated annual salary of $69,000 - 80,000. The actual pay may vary depending on your skills, qualifications, experience, and work location.

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Senior Data Scientist is a strong contributor to the Biometric Assumptions Team, which provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Senior Data Scientist will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: Ideally located in a hybrid work-arrangement in one of RGA's offices- St. Louis, USA or Toronto/Montreal offices, Canada or London, UK or in a fully remote work-arrangement. Responsibilities Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards Communicate with a variety of stakeholders at various levels of seniority Offer risk management skills to any data processing or modeling exercise: Understand business context & where material scope for error lies Adhere to professional standards, best practices, and ethical guidelines Understand the strengths and limitations of a modeling approach Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in such as: Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines Stay abreast of new techniques, but focusing on practical applications Liaise with RGA's data scientists across the globe about more sophisticated data science applications Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field 6+ years of experience developing statistical models (Regression, Decision Trees, Time Series, etc.) Statistical programs/languages (R or Python) Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) Advanced predictive modeling skills: Tree-based models, GLMs, GAMs, etc.; Cross-Validation, Residuals and model diagnostics; Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) Advanced exploratory data analysis skills- Plots and graphics (BI/ggplot) Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques Transform data to enhance its predictive value (feature engineering) Advanced ability to translate business needs and problems into viable/accepted solutions Advanced investigative, analytical, and problem-solving skills Preferred Experience with longevity product design / pricing / experience studies / assumption development Re/insurance industry experience Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field Actuarial designation (ASA/FSA; AIA/FIA) 4 or more years of experience with statistical modeling for insurance Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) Basic data engineering capabilities (Python, Scala) Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation LI-DL1 #LI-HYBRID What you can expect from RGA: Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. We're excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience-without considering name, gender, or other personal details-and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you. Compensation Range: $123,500.00 - $184,050.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role As a Senior Healthcare Data Informaticist, you will design, manage, and maintain all reference data assets in the Terminology Reference Library (TRL), including clinical, and claims-related coding standards. In this senior role, you will ensure high-quality, standardized, and actionable data to support therapeutic area frameworks and a comprehensive, reference data library. You will collaborate closely with data engineering, analytics, and product teams to deliver scalable, interoperable, and trusted healthcare data solutions. What You'll Do Curate, standardize, and validate medical and pharmacy claims data to ensure accuracy and usability across Compass products Map drugs to indications and therapeutic areas using coding standards such as ICD-10, CPT/HCPCS, NDC, RxNorm, and ATC Design, maintain, and document hierarchical structures, taxonomies, and vocabularies, including therapeutic area frameworks, diagnosis/procedure groupings Develop business rules, validation routines, and clinical logic to support reliable analytics and product use Lead data integration and modeling efforts, applying healthcare data standards for consistent, interoperable data assets Troubleshoot complex data issues, ensuring data integrity, system reliability, and adherence to regulatory requirements (HIPAA) Produce clear documentation (ERDs, flowcharts, sequence diagrams) to communicate processes and data solutions effectively Translate complex clinical and payer data concepts into actionable insights for cross-functional teams and leadership Mentor and guide junior team members to strengthen overall team capabilities. Requirements Bachelor's degree in Health Informatics, Biomedical Informatics, Pharmacy, Life Sciences, Public Health, or related field 5+ years of hands-on experience with healthcare data systems, clinical vocabularies, coding systems, and payer data Deep expertise in drug classification and coding systems (NDC, RxNorm, ATC) Advanced knowledge of diagnostic and procedural code sets (ICD-10-CM, ICD-10-PCS, CPT, HCPCS) Experience with payer data, including commercial and government payers, and a history of acting as a subject matter expert Strong SQL skills and experience with data modeling, transformation, and aggregation on large healthcare datasets Proven ability to design, maintain, and govern complex hierarchical structures (taxonomies, ontologies, clinical groupers) Strong analytical and problem-solving skills, with the ability to resolve technical challenges in healthcare data systems Excellent collaboration and communication skills, able to translate complex data concepts for technical and non-technical audiences Familiarity with U.S. healthcare system structures, data standards, and payer mix concepts Nice to Have Experience with terminology or ontology management tools (e.g., Apelon, SNOMED CT browsers, OHDSI/OMOP) Familiarity with data governance platforms (e.g., Collibra, Informatica) and FAIR data principles Background in pharmacy, clinical informatics, or health economics/market access analytics Proficiency in scripting languages (Python, R, SAS) or other ETL/data manipulation tools Perks & Benefits Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Compensation Base pay: $80,000 - $115,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com. Work Where It's Best for You Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for each person. This applies across all locations and departments. Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We're investing more in offices, culture, and offsite meetings, not less. Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that. Work at Veeva. Work where it's best for you. A different kind of company. A Public Benefit Corporation. Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. × What sets us apart Public Benefit Corporation Work Anywhere Veeva Giving Corporate Citizenship Employees are Shareholders Non-Competes Public Benefit Corporation In February 2021, Veeva became the first public company to convert to a Public Benefit Corporation (PBC). Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. Veeva's public benefit purpose is to help make the industries we serve more productive and create high-quality employment opportunities. Learn More Work Anywhere Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for you. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Product teams are organized in regional product excellence hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. Read More → Veeva Giving At Veeva, we believe in giving back. Veeva's support for charitable causes is entirely employee driven because we think giving is personal and should be directed by the individual. With our 1% Veeva Giving program, each employee receives an amount equivalent to 1% of their base salary annually to support the non-profit(s) of their choice. We don't dictate favored corporate causes or ask employees to donate to specific non-profits. We never support a charitable cause in exchange for commercial advantage or preferential treatment. Corporate Citizenship Veeva's core values - do the right thing, customer success, employee success, and speed - guide our decision making and define our culture. Doing the right thing means that we are concerned about more than just financial success and return to shareholders. We recognize a responsibility to customers, employees, environment, and society.As individuals, we pride ourselves on being good people who are honest, fair, and direct. We treat others with respect. As a company, we strive to be a good corporate citizen, a positive force in the business community, active in our communities, and an example to others. Read More → Employees are Shareholders Our equity program is designed to enable the vast majority of our employees to participate. Our unique approach to awarding equity grants allows our employees to be shareholders so they can benefit financially in the company's growth. Non-Competes Veeva has taken a strong stance against the use of non-compete agreements that can limit employee opportunities. We do not require our employees to sign non-compete agreements, and we have taken legal action to fight the unfair use of these agreements by other companies because we believe such agreements limit an employee's fundamental right to work where they choose. We believe in our people and want them to be successful here at Veeva or wherever their careers take them. Read More → News and recognition Veeva in Top 100 Most Reliable Companies Fastest-Growing Company for 5 Years, Future 50 for 2 Years New York's Noncompete Bill Is A 'Big Domino To Fall'-And The Broadest Ban Yet-In A Growing Movement Against Them Veeva's Peter Gassner Combine's Today's Execution with Tomorrow's Vision Grow, contribute and be recognized "Veeva's engineering teams take a pragmatic approach to software development. We offer an ideal environment for engineers who value focus, speed and integrity in their work." Jacob Marcus VP, Engineering "I appreciate that Veeva values autonomy over alignment. As a result, we get to make decisions as a small team and ship products faster." Shilpa Chandermohan Software Engineer "As a software engineer at Veeva, I'm proud to be doing meaningful work building clinical trial software that will benefit so many people." 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Build a Bigger, Better, Bolder Future Imagine working for a company that measures its success based off the growth of its colleagues, a company that invests in its future by investing in you. Little Caesars is a company where our colleagues make an impact. Your Mission: As the Data Privacy Analyst, you will assess business policies, procedures, and operations to ensure the company meets privacy requirements and government regulations for the protection of critical information. Assist in the development and execution of strategic initiatives to advance the privacy program, design and deliver comprehensive training to colleagues to elevate privacy protection standards, and drive the implementation of robust strategies to mitigate risks related to unauthorized access to sensitive information. You may focus on general operations of a business or organization, or you could focus on privacy as it relates to specific projects. This role works directly with international and domestic privacy law. How You'll Make an Impact: Contribute to the design, execution, and ongoing enhancement of the privacy program, ensuring effective implementation and continuous monitoring for compliance and improvement. Draft and manages the development, maintenance and revision of policies and procedures for the general operation of the privacy program and related activities. Revises the privacy program considering changes in laws or regulations; develops or revises policies or procedures to reflect industry standards, as directed. Presents privacy training as deemed necessary by leadership. Collaborate with stakeholders in the development and implementation of compliance and privacy processes; ensure requirements are being implemented. Engages in third-party relationship management and helps to review third-party risk assessments to ensure proper privacy controls are implemented. Investigates and responds to reported privacy violations and incident responses in collaboration with management, legal and human resources. Investigates and acts on matters related to privacy, including internal investigations (e.g., responding to reports of problems of suspected violations) and suggests corrective actions (e.g., making necessary improvements to policies and practices, etc.); maintains a repository of such investigations and their findings. Maintains knowledge of applicable international, federal, state and local regulatory agency guidelines and laws. Who You Are: Bachelor's degree in business administration, law, finance, accounting, computer science or a related field. 2+ years combination of legal, privacy, compliance, or relevant business experience, with at least 1 year of privacy experience. Working knowledge of international and country specific legal requirements regarding data privacy in relation to marketing, company communication, document retention, and compliance processes. Demonstrable creative problem-solving, analytical thinking, and conceptual skills. A self-starter, capable of leading and executing projects with minimal supervision. An adaptive learner, keeping up with applicable privacy laws, regulations, and best practices. Experience in drafting compliance policies and procedures; assessing industry and leading privacy standards and identifying best practices for the company. Exceptional organizational skills and strong interpersonal skills; able to work harmoniously and effectively with others. Ability to preserve confidentiality and exercise discretion. Ability to manage multiple projects with competing deadlines and priorities. Preferred Knowledge, Skills and Abilities: Familiarity with the OneTrust suite. Where You'll Work: General office environment with little discomfort from noise, temperature and weather exposure. Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Little Caesars Enterprises Inc. Little Caesar Enterprises, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested. This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work. PRIVACY POLICY

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Senior Data Scientist is a strong contributor to the Biometric Assumptions Team, which provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Senior Data Scientist will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: Ideally located in a hybrid work-arrangement in one of RGA's offices- St. Louis, USA or Toronto/Montreal offices, Canada or London, UK or in a fully remote work-arrangement. Responsibilities Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards Communicate with a variety of stakeholders at various levels of seniority Offer risk management skills to any data processing or modeling exercise: Understand business context & where material scope for error lies Adhere to professional standards, best practices, and ethical guidelines Understand the strengths and limitations of a modeling approach Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in such as: Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines Stay abreast of new techniques, but focusing on practical applications Liaise with RGA's data scientists across the globe about more sophisticated data science applications Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field 6+ years of experience developing statistical models (Regression, Decision Trees, Time Series, etc.) Statistical programs/languages (R or Python) Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) Advanced predictive modeling skills: Tree-based models, GLMs, GAMs, etc.; Cross-Validation, Residuals and model diagnostics; Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) Advanced exploratory data analysis skills- Plots and graphics (BI/ggplot) Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques Transform data to enhance its predictive value (feature engineering) Advanced ability to translate business needs and problems into viable/accepted solutions Advanced investigative, analytical, and problem-solving skills Preferred Experience with longevity product design / pricing / experience studies / assumption development Re/insurance industry experience Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field Actuarial designation (ASA/FSA; AIA/FIA) 4 or more years of experience with statistical modeling for insurance Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) Basic data engineering capabilities (Python, Scala) Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation LI-DL1 #LI-HYBRID What you can expect from RGA: Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. We're excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience-without considering name, gender, or other personal details-and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you. Compensation Range: $123,500.00 - $184,050.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

OPENTEXT - THE INFORMATION COMPANY OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation. AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do-powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent AI can't replace to help us shape the future of information management. Join us. Job Title: Sr. Principal Product Manager (Data Cloud) Job Location: Menlo Park, California, USA OpenText is a global leader in Data & AI, and Enterprise Information Management - serving 120,000+ customers including 99 of Fortune 100 companies. We are hiring a Senior Principal, Product Management, to define and drive the product strategy for Data Cloud, a foundational pillar of our AI Data Platform. Data Cloud transforms enterprise content and application data into governed, trusted, AI-ready data products that power next-generation agentic AI, enterprise search, knowledge discovery, and analytics. Your Impact: In this highly strategic role, you will own the product vision, roadmap, and execution for Data Cloud. You will work at the intersection of AI, data architecture, and enterprise applications, partnering closely with engineering, architecture, go-to-market, and executive leadership to bring a transformative AI data platform to market. What the role offers: As a Senior Principal Product Manager, you will: Define the long-term product vision for Data Cloud, aligned with the AI Data Platform strategy and secure information management for AI purpose. Own, prioritize, and continually refine the Data Cloud product roadmap - including data unification, ingestion, governance, knowledge graph services, and AI-native data capabilities. Partner with engineering and architecture teams to turn innovation concepts (RAG, agentic workflows, contextual search, hallucination-reduction frameworks) into shipment-ready product features and release plans. Ensure all roadmap decisions align with customer needs, market opportunities, and business outcomes. Lead strategic customer pilots across content-heavy industries (legal, healthcare, financial services) and drive measurable ROI outcomes. Collaborate tightly with GTM teams - marketing, sales, enablement - to build messaging, pricing strategies, launch plans, and competitive positioning. Work with data governance, security, and compliance teams to embed privacy, lineage, and quality controls into the product. Represent OpenText as a product thought leader for enterprise AI data platforms in executive briefings, customer councils, and industry events. What You Need to Succeed: 10+ years of product management experience in data platforms, enterprise software, or AI/ML systems. Demonstrated success shipping complex platform products for large enterprises or Fortune 500 customers. Deep understanding of product lifecycle, roadmap prioritization, customer discovery, and GTM execution. Strong understanding of modern data architecture: structured/unstructured data integration, data products, Delta/Iceberg, data pipelines, and metadata systems. Hands-on familiarity with knowledge graphs, semantic technologies (RDF, SPARQL, Neo4j), and vector search. Experience with AI/ML - especially LLMs, retrieval-augmented generation, agentic AI, and model-contextual platforms. Proven ability to lead cross-functional teams and influence both business and technical stakeholders. Exceptional executive communication skills with the ability to articulate complex concepts in business terms. What We Offer A unique opportunity to shape the Data Cloud to transform the future of work. The ability to impact strategy, roadmap, and business outcomes at scale. A culture that fosters innovation, collaboration, and growth. Competitive compensation and benefits. One Last Thing OpenText is more than a corporation-it's a global community built on trust, innovation, and purpose. We're seeking a proven leader for a mission-critical role driving our global cloud transformation strategy. This is your opportunity to shape the architectural foundation for scalable, secure, and efficient cloud operations, influencing the future of enterprise technology. #LI-KP2 OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace. Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we're happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off. Salary Range: $184,730.00 - $303,485.00; Depending on the candidate's education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.

Meet Upside: We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail-profit measurement, attribution, and incrementality-to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We've helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives. About the role: We're looking for an Engineering Manager to lead our Data Engineering team, the owners of Upside's core data platform. This team provides the ingestion, modeling, orchestration, and tooling capabilities that power analytics and data-driven decisions across the company. You'll combine technical acumen with people-first leadership to scale our platform, foster engineering growth, and drive data accessibility and trust across internal teams. This role will also help close a strategic gap in our technical organization by guiding the evolution of MLOps practices to support the development, deployment, and monitoring of machine learning models used in personalization and optimization features. Here are some ways we have seen leaders drive impact at Upside: Create a safe, collaborative team environment. You name problems and invite open discussion, which motivates your team to do their best work. Operate with a first-team mindset. You lean in when important areas need help, regardless of whether it's "your" domain, and prioritize the success of the whole organization. Raise the bar. You identify and influence improvements in quality, performance, speed of execution, and engineering standards. Grow talent. You coach your engineers, recognize their achievements, and help them develop skills that will benefit them and Upside for years to come. Set clarity and empower autonomy. You ensure expectations and direction are clearly articulated so that individuals and teams can operate with independence, confidence, and creativity. In addition to the leadership responsibilities above, you will: Co-Create and drive the vision and roadmap for Upside's data platform, shaping the strategy for data across Upside in alignment with company goals. Ensure our data stack, which includes Snowflake, dbt, and Dagster, enables scalable, self-service, and trustworthy workflows for reporting, analytics, and experimentation. Drive strategic data platform initiatives that improve reproducibility, reliability, and analytics enablement-such as modernizing legacy infrastructure, implementing tools like Snowflake Semantic Views and Cortex, and transforming 3rd-party data into trusted, production-ready assets. Define and track key platform health metrics, including pipeline reliability, SLA adherence, cost-efficiency, and model deployment readiness. Partner cross-functionally with Product, Engineering, Data Science, and GTM stakeholders to ensure the data platform supports current and emerging business needs. Represent Analytics Engineering in company-wide planning forums, technical councils, and cross-functional working groups. Why You Should Apply You aren't afraid to challenge the status quo when it makes the team and business better. You learn from those around you while utilizing data to advocate for informed change. You thrive at the intersection of systems and storytelling, not only building robust solutions but also communicating their purpose, impact and rationale, so teams can experiment, iterate, and act confidently. You care about building resilient systems that scale. You bring a mindset of continuous improvement, and know when to invest in observability, automation, or new infrastructure to reduce toil and improve outcomes for the team and end users. You believe that pulling quality upstream starts with engineering. You champion best practices, encourage early testing and validation, and work closely with peers to build a culture of quality from the ground up. Ideal Qualifications Have 3+ years of experience managing data, analytics, or ML engineering teams, and at least 3+ years of hands-on experience as an individual contributor building data products, pipelines, or ML systems. Are proficient with modern data platforms and tooling, including Snowflake, dbt, and Dagster, and are fluent in core concepts like modeling, orchestration, and data transformation. Have hands-on experience or deep familiarity with MLOps practices, such as model versioning, deployment pipelines, monitoring, and reproducibility. Thrive in environments where you're asked to scale teams, elevate systems, and bring clarity to ambiguity. Are comfortable designing and reviewing solutions in AWS environments, and make thoughtful tradeoffs to balance performance, cost, and maintainability. Are eager to integrate generative AI tools into development workflows to accelerate delivery and improve the developer experience. Communicate clearly across technical and non-technical audiences, and can advocate effectively for platform investments that support long-term business value. Engineering Culture We want our engineering leaders to have the time to coach and enable growth for their engineers as well as the space to make thoughtful and impactful technical decisions. We ask our managers to focus on a team of around 8 direct reports, while our more senior managers may operate across two teams. The staffing for these reports is always split - we see incredible value from a mix of full-time and contract staff. Location: This hybrid role is based in our Austin, Chicago, DC, or NYC office. In-office attendance is required on Monday, Tuesday, and Thursday and may increase based on project-based needs and changes to Upside's in-office policy over time. Compensation: The US base salary range for this full-time position is $185,000 - $215,000+ equity + benefits. The final starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific salary range during the hiring process. #LI-Hybrid #LI-NE1 Benefits: Medical, dental, and vision coverage starting on Day 1 Equity (ISOs) 401(k) program Family planning programs + paid parental leave Physical fitness and wellness memberships Emotional and mental health support programs Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break Flexible work environment Lunch reimbursement for in-office employees Employee Resource Groups Learning and Development stipend Transparent culture Amazing mission! Diversity and Inclusion: Diversity drives innovation, and our differences make us stronger. We're passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here! If there's anything we can do to support a disability or special need during your application or interview process, please email accommodations@upside.com. This email is for accessibility accommodations only, it should not be used to submit job applications. Notice To Recruiters And Placement Agencies: This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

About the Team OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences - the Human Data team is at the heart of that effort. The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life - from experimental ideas to production-ready feedback loops. About the Role We're looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You'll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world. We're looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security. Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks. Design and iterate on user-facing tools and backend services to support high-quality data workflows Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms Drive infrastructure improvements that enable faster iteration and scaling across OpenAI's frontier models, from internal research tooling all the way to production ChatGPT. You might thrive in this role if you: Have strong software engineering fundamentals and experience building production systems at scale Enjoy full-stack development with end-to-end ownership - from backend pipelines to user interfaces Are motivated by high-impact collaboration with research teams and solving novel, ambiguous problems Are excited to shape how AI systems learn from human preferences and reflect a broad range of human values Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

ABOUT KHAN ACADEMY Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone, anywhere. Our proven learning platform offers free, high-quality supplemental learning content and practice that cover Pre-K - 12th grade and early college core academic subjects, focusing on math and science. We have over 181 million registered learners globally and are committed to improving learning outcomes for students worldwide, focusing on learners in historically under-resourced communities. OUR COMMUNITY Our students, teachers, and parents come from all walks of life, and so do we. Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger. We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve. We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional. Khan Academy is looking for a senior data scientist to play a critical role in our growing team. This role will partner with our chief learning officer and product leadership team to drive engagement and improve student outcomes. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organization to drive critical strategic decisions. THE ROLE Partner with product teams to understand and help develop theories of action which describe testable hypotheses for the impact of new features Identify and measure success of initiatives through goal setting, forecasting, event instrumentation, monitoring, and ongoing analysis of core outcome metrics Perform exploratory analyses on our rich datasets to extract insights about our teacher & learner behavior and guide our decisions around product roadmap and investments Use your expertise with statistical techniques to quantify the impact of various features, programs, and interventions Share results of analyses to non-technical audiences in ways that help them develop insights about our offerings Contribute to the development of self-service analytics tools to enhance data access for the product team; work with our engineering teams to improve our tools and datasets WHAT YOU BRING Motivated by the Khan Academy mission "to provide a free world-class education for anyone, anywhere." Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization. Background in applied math, statistics, economics, or a related technical field 5+ years of experience in data science or analytics Proficient with statistical techniques (i.e., multiple regression, causal inference, AB testing, hypothesis testing) for real-world applications Advanced SQL foundations & ability to manipulate data using R or Python Compelling data storytelling and visualization (i.e. Looker) with the ability to communicate effectively with non-technical stakeholders Strong business intuition & judgment, with a knack for asking the right questions to drive impact Prior experience working in the education industry is a plus PERKS AND BENEFITS We may be a non-profit, but we reward our talented team extremely well! We offer: Competitive salaries Ample paid time off as needed - Your well-being is a priority 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost Remote-first culture - that caters to your time zone, with open flexibility as needed, at times Generous parental leave An exceptional team that trusts you and gives you the freedom to do your best The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education Opportunities to connect through affinity, ally, and social groups And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life At Khan Academy, we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being. The compensation band for this role is $137,871 - $155,105 USD annually for candidates based in the United States and $186,306 - $209,595 CAN annually for candidates based in Canada. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate's relevant skills, experience, qualifications, and job market data. Additional incentives are provided as part of the complete total rewards package, in addition to comprehensive medical and other benefits. MORE ABOUT US Sal's TED talk from 2011 Sal's TED talk from 2015 Sal's TED talk from 2023 Our team: http://www.khanacademy.org/about/the-team OUR COMPANY VALUES Live & breathe learners We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators. Take a stand As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve. Embrace diverse perspectives We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team. Work responsibly and sustainably We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable. Bring out the joy We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors. Cultivate learning mindset We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren't afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals. Deliver wow We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on. We choose to focus on fewer things - each of which aligns to our ambitious vision - so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply. As part of this commitment, Khan Academy will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact careers@khanacademy.org

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Job Title: Engineer- Automation Engineering- Control System Data Analyst Overview: At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Lilly recently announced a $4.5 billion investment to create the Lilly Medicine Foundry, a new center for advanced manufacturing and drug development. The first-ever facility of its kind, combining research and manufacturing in a single location, the Medicine Foundry will allow Lilly to further develop innovative solutions to optimize manufacturing processes and increase capacity for clinical trial medicines, while also reducing costs and environmental impact. The Engineer-Automation Engineering- Control System Data Analyst, is a technical individual contributor for the Foundry Automation Engineering Team. This individual will be responsible for providing data engineering and analytics solutions for The Foundry Automation Engineering organization. This role in collaboration with the Automation Engineers and System Administrators will maintain, configure, and troubleshoot the different Automation Control Systems and interfaces supporting the data historization and analytics for the Foundry. This role will be involved in the support of the daily operations of the Foundry and will contribute to the operations, productivity and development of reliable and compliant control applications and systems used in the manufacturing at Foundry. Additionally, the Engineer partners to influence and implement within the process control organization and across functional disciplines to support the process control technical agenda, business plan priorities, and compliance objectives. In the project delivery phase and startup phase of the project (startup expected 2025 to 2028), engineering roles will be fluid and dynamic as we endeavor to support the project delivery, build a new organization, develop and implement the necessary systems and business processes required to support GMP operations, and build the site culture. This will require significant collaboration, creativity and resilience as the site grows to a full scale GMP manufacturing through start up. Responsibilities Key Objectives/Deliverables: Provide/Support input to design decisions regarding development and integration of Automation Data Analytics systems and overall Foundry Data Analytics initiatives Lead development and implementation of analytics strategies and tools for metrics, visualization and dashboards based on complex user requirements across multiple platforms and functional areas Interface with the Automation teams and the user groups to develop requirements and designs to meet the business needs. Promote the use of data analytics to support achievement of site business goals including promoting awareness and training on data analytics tools and techniques across the Automation Engineering organization Support qualification and delivery of Automation Servers, Network and Infrastructure and applications Support the Process Control Validation Plan, CSV, Quality Documents, SOP's and Audit Readiness Support the execution and creation, review, and approval of documentation associated with procedure-driven compliance activities such as periodic reviews and application recovery process as part of business continuity initiatives Support key business processes such as audit, investigation and CAPA Monitor, Administer and optimize Automation Quality deliverables (Incidents, Actions, Deviations, Resolutions) Act as a system owner for the electronic testing system (Kneat, ALM, Valgenesis) managing CSV document relating to automation systems Working experience administering relational databases with RDBMS tools such as Microsoft SQL Server Management Studio. Basic to intermediate competency with SQL, PowerBI and software development applications Experience with data flows and interfaces associated with instrumentation and system integration protocols a plus. Provide support for computer system data architecture and data integrity for automation systems across the site including: Foundry Configuration Management Database (ServiceNow), QMS (Veeva) Process Automation Systems (DCS, SCADA, BMS, MES, Historian) Data Historian (DeltaV Historian, FT Historian, Metasys Historian, Aveva PI, Ignition, WIN911) LMS (SuccessFactors) Ensure compliance with regulatory requirements and industry standards (GAMP, 21 CFR Part 11, Data Integrity) and corporate Lilly quality policies and procedures Maintain validation documentation, such as validation plans and summary reports Provide training to personnel on CSV principles, procedures and best practices Operational Excellence Technically collaborate with Site Area leads and System Integrator including Functional Requirements, Design Specifications, DCS Application Software, Test Specifications to ensure Data Historization and System architecture is considered. Provide periodic status updates to Automation Engineering Management Work with Engineering, Operations and many cross functional groups to trouble shoot issues, coordinate changes with data historian systems in line with site change control procedures and site standards, responding to system events and performing routine system maintenance checks Lead the interfacing of cross functional systems such as Historians, QMS, LMS, CMDB, CMMS, ITSM Develop standard operating procedures, work instructions and other job aids to ensure the appropriate level of documentation is in place to design, operate, organize, maintain and optimize the Foundry Configuration Management Database (ServiceNow). Identify, track, and report key indicators of functional performance Organize, document and manage knowledge base for troubleshooting applications following templates regarding problem, traceability, accountability, and resolution Support and implement CSV and quality strategies for control systems in collaboration with Site Quality organization Promote the use of automation and analytics to improve productivity, operational efficiency and compliance Develop a 'network' of corporate contacts and leveraging corporate expertise when needed Organizational Capability In coordination with automation and compliance consultants, set and reinforce standards for appropriate rigor in automation work products. Be a fully active member of the engineering team in running the plant, including participation on management sub-teams. Basic Requirements: Minimum B.S. in IT, Engineering or related discipline and 3+ years' experience in Computerized System Validation and Data Analytics, preferably in pharmaceutical manufacturing. Additional Preferences: 3+ years working experience in Biopharma engineering, operations, or manufacturing. Knowledge of GMP regulatory requirements, computer system validation, execution and data integrity Experience in design, development, commissioning and qualification of highly automated greenfield manufacturing sites utilizing SCADA, DCS, MES, LIMS, Power BI, QMS and Site Historian systems (DeltaV, Rockwell, Syncade, LabVantage, Veeva, Analysis tools, Aveva PI). Experience in design and development of data analysis and data contextualization to support site functions and metrics. Ability to work in a matrix organization within the department and cross functionally and demonstrate key interpersonal skills. Ability to ensure appropriate technical depth and rigor with departmental technical deliverables. Ability to make decisions independently and to network with others as appropriate. Ability to work with key network and enterprise partners in utilizing new technology in data analytics and enterprise integration Ability to influence peers and business partners For Internal Lilly employees-LRL/Product Research Development experience preferred Other Information: Initial location at Lilly Technology Center, Indianapolis. Permanent location at the new Lilly Medicines Foundry in Lebanon, Indiana. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $66,000 - $171,600 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Are you passionate about designing large-scale reporting systems that power mission-critical analytics and decision-making? Do you enjoy mentoring others and shaping the technical direction of large-scale platforms? Are you a problem-solver who thrives in fast-paced environments and loves tackling complex data querying challenges? If so, we invite you to be a part of our Reporting team The Ridgeline Reporting team builds and maintains the infrastructure that powers both external operational reporting and internal data accessibility across the platform. We're responsible for designing data querying systems, scaling our service to meet increasingly large customer volumes, and enabling fast, reliable access to complex datasets. As a member of this team, you'll contribute to a technical foundation that supports everything from core product experiences to strategic insights. We embrace tools like GitHub Copilot and Cursor AI to accelerate development and reduce friction, allowing engineers to focus on creative, high-leverage problem solving. We're looking for engineers who are excited to drive architectural decisions, mentor others, and build high-performance systems that scale with the business. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions-not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If the Ridgeline Way excites you, we'd love to meet you. You must be work authorized in the United States without the need for employer sponsorship. The impact you will make: Serve as technical lead for cross-cutting initiatives like the Reporting Engine rearchitecture, performance scaling, and AI reporting integration. Collaborate with engineers, product managers, and designers to define and deliver impactful customer-facing features. Drive architectural decisions that ensure our reporting systems are reliable, performant, and extensible. Help establish engineering best practices in data modeling, distributed systems, and query optimization. Lead design reviews, guide implementation, and mentor staff- and senior-level engineers. Dive deep into technical problems while maintaining a strategic, long-term perspective. Represent the Reporting team in cross-functional planning efforts and engineering leadership forums. Think creatively, own problems, seek solutions, and communicate clearly along the way Contribute to a collaborative environment rooted in learning, teaching, and transparency What we look for: 6+ years of software engineering experience, including technical leadership of large-scale systems. Experience designing and evolving data-intensive applications, especially in reporting or analytics domains. Proficiency with Python or Kotlin (experience with both is a plus). Experience with modern cloud platforms (AWS preferred) and building scalable, event-driven services. Familiarity with front-end technologies like React is a bonus. A strong understanding of distributed systems, data pipelines, and performance optimization. A demonstrated ability to lead without authority, influence architecture, and align teams. A collaborative mindset with excellent communication and mentoring skills. Willingness to learn about cutting-edge technologies while cultivating expertise in a business domain/problem space. An aptitude for problem solving Ability to communicate effectively Serious interest in having fun at work About Ridgeline Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry. Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before. With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a "Best Workplace for Innovators," by The Software Report as a "Top 100 Software Company," and by Forbes as one of "America's Best Startup Employers." Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. Compensation and Benefits The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below. The typical starting salary range for new hires in this role is $146,000 - $172,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you'll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, 100% of Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits. #LI-Hybrid

Company Cox Communications, Inc. Job Family Group Data Intelligence & Science Job Profile Data Scientist II Management Level Individual Contributor Flexible Work Option Hybrid- Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day Compensation Compensation includes a base salary of $89,400.00 - $134,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Job Description Cox Communications, Inc. is seeking a Data Scientist II to transform data into actionable insights, extrapolating and sharing with organizational leaders to help solve vexing problems and build transformational strategies to move the business forward. Designs data modeling processes, creates algorithms, and crafts predictive models to help with planning, problem solving, and strategic and tactical decision-making. This role increasingly leverages AI and Machine Learning (ML) techniques to automate insights, personalize experiences, and drive data-driven innovation. WHAT YOU'LL DO Collaborates with peers and colleagues to extract meaning and interpretation from data sets within an assigned area of responsibility. Engages with assigned leaders and teams to understand business objectives and challenges. Works with peers, colleagues, and more senior Data Scientists to develop relevant data collection and analytical methods to investigate challenges and develop meaningful insights, including the application of appropriate ML algorithms (e.g., regression, classification, clustering). Develops MLOPS process for data evaluation and model performance. Researches and evaluates large volumes of data from disparate sources to identify statistical patterns and generate insights, including experience with data cleaning, feature engineering, and data augmentation techniques to improve model performance. Includes the ability to critically evaluate model outputs, identify potential biases, and interpret model explainability (XAI). Develops clear and easily understood data visualizations to facilitate communication and understanding, experience with tools that support interactive dashboards and storytelling with data is a plus. Shares analysis and project updates with senior team members and management; proactively communicates model performance metrics, limitations, and potential biases. Develops, trains, evaluates, and maintains machine learning models using appropriate frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, PySpark). Contributes to the development and implementation of AI-powered solutions, working closely with engineering teams for deployment and integration. Stays current with the latest advancements in AI, Machine Learning, and Data Science, and proactively explores opportunities to apply these advancements to solve business problems. WHO YOU ARE (Qualifications) Required Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. Bachelor's: Minimum two (2) years of work in Data Scientist roles. Masters: Minimum one (1) years of work in Data Scientist roles. Experience in AWS environments: Athena, S3, BedRock, Sage Maker AI, and AWS Glue and SnowFlake environments. Strong programming skills in Python, and SQL. Experience with data visualization tools (e.g., Tableau, Power BI). Working experience with cloud computing platforms (e.g., AWS, Azure, GCP) Proven experience ability to effectively partner with cross-functional teams to successfully execute large-scale projects. Strong ability to create, organize, analyze, and interpret complex data sets, draw conclusions, and communicate findings and recommendations to others. Ability to prioritize and manage multiple complex projects simultaneously. Excellent interpersonal, leadership, presentation, and collaborative skills to work effectively with teams throughout the organization. Excellent business acumen with strong story-telling skills to communicate effectively and drive action. Must possess an internal client service orientation and work effectively in a matrix management environment. Ability to grasp and explain complicated subject matter to others across the organization that are less connected to the situation and/or are less technically oriented. Demonstrated ability to multi-task, work under pressure and think analytically. Outstanding attention to detail. Benefits The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. About Us Cox Communications is all about creating moments of real human connection; and for employees, that's true both in the workplace and in the problems we solve for customers. From building advertising solutions to unleashing IoT technologies to creating an exceptional experience for customers in our retail locations and online, we're creating a world that is smarter and more connected. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer- All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior/Lead Data Scientist with strong expertise in advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, modelling and EDA experience solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Design and implement graph-based models to analyze, optimize, and improve supply chain networks. Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations. Build scalable data pipelines and analytical models using PySpark for large-scale supply chain datasets. Develop predictive and prescriptive models to support decision-making in areas such as demand forecasting, routing, and inventory management. Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions. Communicate insights and recommendations clearly to stakeholders through data storytelling, visualizations, and presentations. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements

Strider Technologies delivers strategic intelligence that helps organizations make faster, more confident decisions in an increasingly complex global environment. Using cutting-edge AI and proprietary methodologies, we transform open-source data into actionable insights that help protect technology, talent, and supply chains from nation-state risks. Job Description: Strider is revolutionizing the way companies, universities, research institutions, and government agencies protect their innovation and compete in a new era of global strategic competition. Our trailblazing technology and intelligence solutions enable clients to proactively identify, manage, and respond to foreign government directed IP theft and supply chain vulnerabilities. We are a data company. We have billions of documents online and are collecting millions of new documents each day. The Data Engineering team is responsible for building structured data assets from these raw documents to build new products and enhance existing ones. If you're ready to be part of an elite team tackling some of the most pressing security and technology challenges, let's talk. Responsibilities for this role: Develop large scale data processing pipelines Create data assets from unstructured data Build and support internal and external facing APIs Author design documents Mentor teammates Drive software engineering best practices Participate in code reviews Collaborate with a talented cross-functional team of engineers, data scientists and subject-matter experts You are a good fit for this role if you: Have 4+ years of software engineering experience Previous experience working in a data heavy role Understand how to use cloud infrastructure effectively Are a natural problem solver with an affinity for data Are opinionated about how software is built Are proficient at breaking down large, sometimes ambiguous, problems into well-defined tasks Value shipping code early and often Have a well-honed mental model for how software systems execute and interact Technologies we use: Python Elasticsearch Memgraph Flyte AWS (EC2, S3, SQS, DynamoDB, Lambda, EKS) Benefits Competitive Compensation Company Equity Options Flexible PTO Wellness Reimbursement US Holidays (Office Closed) Paid Parental Leave Comprehensive Medical, Dental, and Vision Insurance 401(k) Plan Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

About Akuna: Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker - meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies, and mathematical models. Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm's first office in 2011 in the heart of the derivatives industry and the options capital of the world- Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London and Singapore. What you'll do as a Software Engineer on the Data Engineering team at Akuna: We are a data-driven organization, leveraging our data as a key competitive advantage essential to our success. The Akuna Data Engineering team is composed of world-class talent responsible for designing, building, and maintaining the systems, applications, and infrastructure needed to collect, store, process, manage, and query Akuna's data assets. The Akuna Data Engineering team plays a crucial role in ensuring that trustworthy data is available, reliable, and accessible to support various data-driven initiatives within Akuna's Quant, Trading, and Business Operations business units. In this role, you will: Work within a growing Data Engineering division supporting the strategic role of data at Akuna Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark. Mentor junior engineers in software and data engineering best practices Produce clean, well-tested, and documented code with a clear design to support mission critical applications Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA's) pertaining to data quality, data availability and data correctness Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack Qualities that make great candidates: BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field 5+ years of professional experience developing software applications Java/Scala experience required- Python experience a significant plus Highly motivated and willing to take ownership of high-impact projects upon arrival Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements Must possess excellent communication, analytical, and problem-solving skills Demonstrated experience working with diverse data sets and frameworks across multiple domains - financial data experience not required, but a strong plus Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role Please note that level/title will be determined upon the conclusion of the interview process. If you are a current student or recent graduate, please take a look at our Entry Level and Intern positions. In addition to technical skillsets, Akuna values the unique perspectives people can bring to the table to collaboratively solve complex problems and drive Akuna forward. We want everyone to feel empowered to apply. We welcome your application and encourage you to take the first steps toward your future with us! In accordance with Illinois Equal Pay Act, the minimum base salary starts at $130,000. Exact compensation offered may vary based on many factors including, but not limited to, the candidate's experience, qualifications, and skill set. This role is also eligible for a discretionary performance bonus as part of the total compensation package and includes a comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits. The minimum base salary herein was determined in good faith by Akuna Capital LLC.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is seeking a highly motivated Senior Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFi's Marketing organization through robust analytics, modeling, experimentation, and measurement. This new role will be working with senior data scientists to develop, optimize and implement the marketing strategies for Sofi SIPS(Save, Invest, Protect and Spend). Marketing Data Scientists will partner closely with marketing managers and leadership to design, analyze, and optimize marketing strategies that drive member growth and revenue. If you are interested in working with highly quantitative teammates and elevating how data and analytics drives marketing and business decisions, this role is for you. What you'll do: Drive the growth of business and member products by developing comprehensive marketing strategies, which includes data analysis, model creation, strategy development, and performance monitoring across all channels. Collaborate with marketing managers, channel owners, and external partners to identify and strategize on new opportunities and initiatives. Analyze and measure the effectiveness of the marketing strategies, including funnel efficiency (click to convert), CPA (cost per acquisition) and ROI (return on investment), to provide data-driven recommendations and drive informed actions. Design, analyze, and interpret experiments (A/B tests, quasi-experiments) to inform marketing and growth decisions. Design and validate the complete campaign lifecycle, including process flow, data pipeline, model scoring, and execution, in collaboration with the campaign execution team to ensure timely and accurate campaign selections. Define key performance indicators (KPIs), design reporting framework and develop self-service dashboards that provide clear visibility into product and business performance. Perform deep-dive analyses across funnels, user behavior, monetization, and retention to identify growth and efficiency opportunities. Transform business objectives into data-driven, actionable tactics and campaigns that generate immediate results and establish a robust foundation for sustained growth. Fulfill partner requests promptly by providing timely analysis, adeptly navigating ambiguity, and focusing on solution-oriented approaches.. Communicate insights clearly to senior leadership and partners, converting complex data into compelling narratives. What you'll need: Bachelor's degree in Computer Science, Math, Physics, Engineering, or a quantitative field required; Master's degree preferred. 5+ years of experience in data science/analytics role Strong communication skills and comfort working directly with Product and Business leaders Strong programming skills in SQL, Python/R and proficiency in Tableau Experience in growth, lifecycle, or funnel optimization problems Experience building data pipelines with Airflow, preferably in Snowflake. Demonstrated experience with experimentation design, hypothesis testing, and statistical analysis Knowledge of statistical modeling or machine learning is a plus. Ability to operate effectively in ambiguous, fast-moving product environments Ability to thrive in a dynamic, cross-functional environment with keen attention to detail. Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion Knowledge of experimentation platforms (e.g., Statsig or similar) Demonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership Strong preference for industry experience in financial service and familiarity with banking products and marketing channels. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $128,000.00 - $240,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Job Description Summary For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking. In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences. We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm. HarbourVest is an equal opportunity employer. This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed. Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. This hands-on leadership role requires a proven history of guiding software projects to successful production. You should have extensive experience with private equity financial data and an entrepreneurial approach. You will build scalable data systems that directly support investment, fund, and portfolio decision-making. The ideal candidate is someone who is: A self-starter with a love for technology, software application delivery, and mathematical applications! Excellent interpersonal and team collaboration capabilities Strong analytical, organizational, and problem-solving skills coupled with outstanding attention to detail A passion for finance and financial markets! A track record of successful SaaS software delivery What you will do: Take ownership and lead on features and functionality, design, code, run and maintain pipelines, transformations, views, test suites for applications and data validation purposes Mentor team members on software and data engineer guidelines and processes Lead work with Data, DevOps and Application development teams on integrating automated testing with CI/CD processes Involved in testing and deploying internal data quality applications Implement and delivery data quality pipeline frameworks Implement and deliver data warehouse pipelines and modeling What you bring: Demonstrated ability Leading Data Engineering and Analysis teams Experience mentoring engineers on standard methodologies and establish guidelines while remaining hands-on Proven experience with data-centric testing and deployment of FinTech based applications, data analysis, data pipelines and ETL for large datasets Proficiency in MSSQL or equivalent SQL RDBMS Proficiency in Python Experience with DBT and Azure Data Factory and Pipelines Experience with MS Synapse and Snowflake desired Familiarity working in a scrum/agile SDLC environment Preferred but not vital: Business Intelligence and Analytics application experience Experience delivering software applications and data to a wide audience Education Preferred Bachelor of Science (B.S) or equivalent experience Master of Science (M.S) or equivalent experience Experience 8+ Years of Data Engineering and software delivery experience preferred 3-5 Years of Technical Project Leadership experience Partner directly with investment, finance, and operations teams #LI-Hybrid Salary Range $160,000.00 - $240,000.00 This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.

Who are we? Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You'll work across teams, influence key decisions, and help shape the path forward. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. Job Summary The Power Development Manager- Will play a pivotal role in overseeing the contractual, technical and strategic aspects of Equinix's regional power strategy, focusing on utility relationship management, power deal origination, connection agreements, and large load regulatory changes. This role requires a deep understanding of energy systems and markets, utility management, and the regulatory framework governance. The Senior Manager will lead efforts within the southern region of AMER including LATAM to originate, secure and manage utility connections, oversee Independent Power Producer (IPP) agreements, evaluate On Site Power Generation solutions, and contribute to the overall development of the company's power availability strategy throughout the region. Responsibilities Power origination: Identify power development opportunities within region that meet DC build timelines and strategy. Source energy from developers, utilities, IPPs, onsite generation or hybrid approaches Utility Relationship Management: Own relationship with current and potential utility partners. Understand the utility partner's organization, energy programs, and lead regular leadership exchanges Utility Connection Management: Oversee the management and negotiation of utility connection agreements, ensuring timely, reliable and cost-effective power supply for Equinix's global operations IPP Agreement Oversight: In coordination with Energy operations, manage and oversee agreements with Independent Power Producers (IPPs), ensuring that contracts align with the company's energy procurement goals and compliance requirements On Site Power Generation & Storage: In coordination with Global Design and Construction, evaluate OSPG and storage options for long term power needs, bridging solutions, and or grid services Power Availability Strategy: Assist in the development and execution of strategies to ensure continuous and reliable power availability across all Equinix facilities, considering both current needs and future growth Market Analysis and Strategy: Monitor and analyze energy markets, regulatory changes, identifying trends and opportunities that inform the company's long-term power strategies Technical Leadership: Provide expert guidance on power regional power strategy, including origination, utilities/IPP management, & regulatory changes, ensuring that the company's power infrastructure is delivered on time, reliably, and aligned with industry best practices Project Oversight: Contribute to power strategy for new and existing developments from origination through energization and ongoing relationships with power providers Legal and Regulatory Compliance: Collaborate with the legal team to navigate the complexities of utility agreements and IPP contracts, ensuring all contracts are compliant with local regulations and company policies Stakeholder Collaboration: Work closely with cross-functional teams, including engineering, legal, and finance, to ensure alignment on power-related initiatives and goals Risk Management: Identify and mitigate risks associated with power procurement, utility connections, and IPP agreements, ensuring the company's energy needs are met without compromising on quality or cost-effectiveness Qualifications Experience: Minimum of 7+ years of experience in power origination, utilities connection agreements, relationship management, data center development, with significant experience in a senior management role Education: Bachelor's degree in Energy Management, Engineering, Business, or a related field. Advanced degree or certifications in energy management or project management preferred. Applicable real-world experience in wholesale or retail power markets will also be considered Technical Expertise: Extensive knowledge of existing and emerging energy systems, utility connections, IPP agreements, and US energy markets, with the ability to apply this expertise in a strategic context Project Development/Management: Proven experience leading complex projects related to energy infrastructure and procurement. Thins includes that ability to influence internally and externally Contracting experience: Strong understanding of the legal and regulatory aspects of utility agreements, IPP contracts, and energy procurement Market Insight: Deep familiarity with the US & LATAM energy market, including trends, key players, and emerging technologies Language- English primary with Spanish and or Portuguese are preferable The targeted pay range for this position in the following location is / locations are: United States- Dallas Infomart Office DAI : 155,000 - 233,000 USD / Annual United States- Denver Office DEO : 155,000 - 233,000 USD / Annual United States- AT1 Atlanta : 155,000 - 233,000 USD / Annual United States- Ashburn Lerner Office : 171,000 - 257,000 USD / Annual United States- MI1 Miami : 155,000 - 233,000 USD / Annual Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. Equinix Benefits As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work. Employee Assistance Program: An Employee Assistance program is available to all employees. US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.- Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.- Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms. Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. We use artificial intelligence in our hiring process. Learn more here.