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At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water. Consider applying here, if you want to: Work in an entrepreneurial and dynamic environment with a chance to make an impact. Develop lasting relationships with great people. Have the opportunity to build a satisfying career. We offer competitive compensation and benefits packages for our Team Members. Sr. Manager, Data Science- AI , ML & Optimization The Sr. Manager of Data Science, AI/ML & Optimization will provide expertise in AI through use of machine learning, optimization, and statistical models to design, prototype, build and scale next generation Advanced engines, models and services to enable business value creation. The role will drive both operational & strategic programs to enhance business strategies. Essential Functions Collaborate with full-stack product team & business partners to develop novel ways to meet business objectives utilizing cutting edge technology, models/algorithms and techniques Effectively communicate the analytics approach and how it will meet and address objectives to business partners Advocate and educate on the value of data driven decision making focusing on the "how and why" of solving problems Help the organization accelerate the journey to predictive and prescriptive analytics - focused on business decisions Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic products Engineer features by using business acumen to find new ways to combine disparate internal and external data sources Educate & share passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards Collaborate, coach, and learn with a growing team of Data Scientists Stay connected with external sources of ideas through conferences and community engagements AI governance, responsible AI / ethical AI, and scaling data science best practices across the organization Please note this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice. Qualifications Minimum Qualifications: 6+ Years- Experience in Technology Consulting or Data Analytics 6+ Years- Experience in or supporting Operations/Strategy 4+ Years- Experience managing people and projects experience may include a combination of work experience and education Preferred Qualifications: 10+ Years- Experience in Technology Consulting or Data Analytics 10+ Years- Experience in or supporting Operations/Strategy 6+ Years- Experience managing people and projects experience may include a combination of work experience and education Competencies Must have Python or R proficiency and experience working with Snowflake Statistics, Modeling, algorithms expert, with proficiency in classical AI Machine Learning (ML), and GenAI to solve clustering, time series, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Experience with designing data warehouses and/or data lakes with big data technologies such as Hadoop, Spark or distributed databases like Redshift and Snowflake. Experience with Big Data technologies desired- Hadoop, containerization, etc. Experience with containerization and managing pipelines and microservices, e.g., Docker, Kubernetes Experience with data visualization tools preferred- PowerBI, Alteryx, etc. Strong understanding of agile methodologies Experience as a Data Scientist on a cross-functional agile team preferred Strong communication skills with ability to communicate complex technical concepts and align organization on decisions Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply Utilizes team collaboration to create innovative solutions efficiently Value focused, Agile delivery with think-big, fail-fast mindset, and measurable outcomes Passionate about technology, responsible AI and excited about the impact of emerging / disruptive technologies Wants to unleash inner self-starter and work in an environment that fosters entrepreneurial minds Believes in culture of brutal transparency and trust and open to learning new ideas outside scope or knowledge This position embodies the values of Niagara's LIFE competency model, focusing on the following key drivers of success: Lead Like an Owner Provides strategic input and oversight to departmental projects Skilled in reducing costs and managing timelines while prioritizing long run impact Leads/facilitates discussions to get positive outcomes for the customer Makes strategic and sustainable data driven decisions which prioritize the needs of the customer over departmental/individual goals InnovACT Continuously evaluates existing programs and processes, and develops new initiatives to increase efficiency and reduce waste Creates, monitors, and responds to departmental performance metrics to drive continuous improvement Communicates a clear vision, organizes resources effectively, and adjusts the strategy as needed when managing change Find a Way Demonstrates ability to think analytically and synthesize complex information Effectively delegates technical tasks to subordinates Works effectively with depts, vendors, and customers to achieve organizational success Identifies opportunities for collaboration in strategic ways Empowered to be Great Engages in long term talent planning Provides opportunities for the development of all direct reports Understands, identifies, and addresses conflict within own team and between teams Education Minimum Required: Master's Degree in Supply Chain/Information Technology/Statistics/Computer Science/Data Science or other related field Preferred: Ph.D in Supply Chain/Information Technology/Statistics/Computer Science/Data Science or other related field Certification/License: Required: N/A Preferred: ASCM CPIM/CSCP, PMP PMI Foreign Language Required: None Required Preferred: None Required Typical Compensation Range Pay Rate Type: Salary $159,716.54 - $231,589.00 / Yearly Bonus Target: 15% Annual Benefits https://careers.niagarawater.com/us/en/benefits *Los Angeles County applicants only Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws. Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees. Niagara Plant Name CORP-MAIN

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society's toughest challenges - from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone. The Team CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing state-of-the-art imaging systems to observe living cells in action Instrumenting tissues to better understand inflammation, a key driver of many diseases Engineering and harnessing the immune system for early detection, prevention, and treatment of disease CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The Opportunity CZI is building a virtual cell model that will learn how cells function at a molecular level, and predict how cells and tissues respond to changes to their genes or environment. To achieve this, we aim to generate datasets that enable us to track cells' journeys throughout development, monitor real-time changes in cellular state and identity, and measure how cellular machinery responds to environmental changes. To achieve this, we will generate very large amounts of volumetric, time-resolved microscopy data, and ultimately we will publish the data, models, and related applications for public use. As the Senior Technical Program Manager, you will be responsible for ensuring end-to-end delivery of the imaging datasets, first to AI researchers, and ultimately to the scientific community. You will partner with research scientists, engineers, and data scientists to design and implement systems to acquire, transform, store, manage, and prepare data for model training. You will ensure the system implements requirements from Product Management to make those data useful and accessible for the scientific community. You will ensure data we create are standardized and carry uniform metadata-across imaging modalities but also across other data types we generate. Through these efforts, you will create the data foundation for our work in imaging science. What You'll Do Define and defend the technical strategy and roadmap for imaging data acquisition Establish systems and processes to ensure agility and responsiveness to emerging data types or modeling needs in the rapidly evolving AI biology space. Oversee design and operation of data pipelines and storage solutions to support multi-PB image acquisition, storage, and use Organize a team to create high quality, standardized imaging datasets and deliver them to AI researchers and the scientific community. What You'll Bring 8+ years of experience with biological imaging data, including at least 5 years experience working with technologies accumulating multiple PBs of data per year. Delivered multiple large data products, at least one of which contains a significant component of imaging data. Interest and ability to execute and manage a large, cross-functional project with many stakeholders. Experience with big data: extraction, transport, loading, databases, standardization, and data validation. Strong fundamentals in algorithms, statistical reasoning and/or machine learning. Exposure to image analysis and QC best practices. Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Experience working in a scientific multidisciplinary environment (e.g. with research scientists, engineers, data scientists, and/or AI researchers). Compensation The Redwood City, CA base pay range for this role is $178,000 - $267,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

Overview Job Summary: The IS Manager is responsible for planning, leading, organizing, and motivating the data science teams within the Connected Program to achieve a high level of performance and quality in delivering exceptional business value to users. The IS Manager is expected to lead and manage the development, deployment, and support of new and existing capabilities as it relates to artificial intelligence and business intelligence software, services, and platforms and integrated systems/solutions to meet the current and future needs of the business. This role is responsible for managing agile team in a high visibility global program (Connected) using various methods in a fast-paced environment that crosses multiple business divisions and operating companies globally. The IS Manager may play many different roles in actual practice: At an enterprise level, leading and managing large, complex technical deliverables consisting of multiple cross functional teams delivering AI and BI-driven predictions and recommendations to business users At a team level, orchestrate the continued formation and success of a high performing group of individuals with disparate technology backgrounds and skills with the purpose of producing the highest quality AI and BI solutions Drive the successful delivery of product-based initiatives across multiple teams and release trains In-office presence required at least 4 days per week Responsibilities Essential Functions: Drive team members to develop practices and processes that optimally advance the translation of effort into value creation; minimize total cost of ownership by establishing high bar on quality including test driven development, continuous integration, and automated unit testing; establish metrics to measure and help the teams improve Provide input to assist the Delivery Manager to implement Best Practices, SDLC standards, and champion ongoing process improvement initiatives to implement best practices. Work closely with the Enterprise Data team to collaborate on data governance standards, platforms, and shared data models Establish direction and clear sense of meaning to inspire teams in creating their own connection and passion to the business goals Act as technology owner, accountable for development and configuration implementation of capabilities related to data science, machine learning, Salesforce, Snowflake, Google Cloud Platform, Elasticsearch, and other related platforms Partner with Platform Architect, Product Owners and Business Sponsors in providing transparency in execution and monitoring within delivery plans. Manage deliverables, status, and quality elements throughout the lifecycle for work efforts that may span multiple functions, departments, and processes Identify risks, create mitigation plans and drive deliverables for production launches and articulate any operational/performance gaps needing to be addressed Provide recommendations for operational efficiency and process improvements subject to management review in support of change Supervisory or Management Responsibility: Act as Coach-Leader, coaching others in their development as leaders, catalyzing the growth of people's capacity to embrace greater complexity, and focus on helping others formulate their development agenda Assist in team development while holding teams accountable for their commitments, removing roadblocks to their work; leveraging organizational resources to improve capacity for project work; and mentoring team members Promote empowerment of the team, ensure that each team member is fully engaged in the project and making a meaningful contribution, and encourage a sustainable pace with high-levels of quality for the team Management responsibility for the teams, including hiring, leadership, development and accountability for performance. Establish operational/team objectives and goals. Evaluate conceptual aspects of technical designs of applications, systems and solutions to ensure sound decisions and investments are made in accordance with application architecture governance policies and standards. Budget Responsibility: Develops and manages budget Produces monthly forecasts Approves operational expenditures Determines variance of actual to forecast and takes action to correct/explain variances Plans capacity fluctuations based on roadmap of features Qualifications Minimum Education and/or Experience: BA or BS or equivalent experience is required Strong interpersonal skills including mentoring, coaching, collaborating, and team building Strong analytical, planning, and organizational skills with an ability to manage competing demands Proven ability to lead software development teams and efforts and ensure objectives, goals, and commitments are met Excellent oral and written communications skills and experience interacting with both business and IT individuals at all levels including the executive level Thorough understanding of project management methodologies, Agile continuous development and Systems Implementation Life Cycle Able to identify and understand complex problems/issues and develop solutions Experience with enterprise-scale applications Strong leadership, group facilitation, organizational, analytical and communication skills Experience working in an offshore/onshore collaborative environment Ability to travel internationally without restrictions required. Skills and Abilities: Solid understanding of Agile software development life cycle models Experience overseeing multi-function teams with at least 10-15 team members including developers, business analysts, UX/front-end developers and QA personnel Prior experience managing both software development and data science teams and initiatives Prior software development or data science experience - a plus Consulting background - a plus Software development or data science hands-on experience - a plusSalesforce, Snowflake platforms - a Plus Core Competencies: Build relationships Develop people Lead change Inspire Others Think critically Communicate clearly Create Accountability B enefits Overview: Benefits are subject to change and may be subject to specific elections, plan, or program terms. This role is eligible for the following: Medical, dental & vision Hospital plans 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents) Company paid Short and long-term disability Health & Dependent Care Spending Accounts (HSA & DCFSA) Transportation benefits Employee Assistance Program Tuition Assistance Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave) Salary Range: $116,600.00 - $174,800.00 This position is bonus eligible The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Lauren Lara at llara@allegisgroup.com or call 410-579-3526 for other accommodation options.

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference. This person will be a key member of our Data Science team and responsible for the development of numerous kinds of customer lifecycle models. If you are looking for an opportunity to join a great team where you can be yourself, deepen your skills and experiences, and find new areas of inspiration then consider a career at Avant! What you'll do at Avant: Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions using different modeling techniques Design and build predictive models to enhance customer experience, reduce risk, improve revenue generation, optimize direct mail targeting, and drive key outcomes throughout the customer lifecycle Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Clean, process and validate data to ensure its quality and integrity for modeling and analysis Conduct feature engineering, select appropriate features and develop robust models using various machine learning techniques Perform ad-hoc analysis and present results in a clear manner to senior management. Provide timely and justified recommendations in response to ad-hoc analysis requested by internal groups Proactively collaborate with Data Engineering, ML Operations, Software Development, Credit Risk, Marketing, Legal & Compliance, and other internal groups to implement and monitor models across the customer lifecycle Develop and enhance processes and tools to monitor model performance and input and output data accuracy Why you're a fit for Avant: 2-3 years of the job experience as a data scientist or an advanced degree (Master's or PhD in Machine Learning, Computer Science, Statistics, Operations Research or a related STEM fields) 2+ years expertise in machine learning theories and practices (Generalized Linear Model, Support Vector Machine, Random Forest, Gradient Boosting, etc.) Familiarity with Object-Oriented Design (OOD) concept and functional programming with 2+ years experience writing production-level code Strong proficiency in Python with experience in the end-to-end development of machine learning models. Domain knowledge in credit risk is a plus Advanced in SQL for querying and analyzing large datasets Excellent communication skills, with the ability to present complex concepts and findings clearly to both technical and non-technical audiences, and effectively collaborate with cross-functional teams Strong problem-solving and critical-thinking skills, with a keen attention to detail and data integrity Experience with ML and data analytics platforms/technologies such as Databricks, AWS (including AI/ML tools) and Looker is a plus Experience in deep learning is preferred Experience in a data science or ML Ops role at a banking/financial institution or fin-tech is a plus This role is based on our downtown Chicago Office, located in the Merchandise Mart. We highly value collaboration and our hybrid schedule (M, T, Th in-office) enables flexibility to balance work and individual priorities. Compensation Range: The base salary range for this job is USD $80,000 - USD $100,000 / Year Employees new to Avant typically come in below the midpoint of the pay range. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities. [If an outstanding applicant's experience and skill level is above or below the qualifications outlined in the job posting, we reserve the right to make an offer at a different level than the one listed in this job posting, which may have a different compensation range.] This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. Our benefits include: Choice of great Medical, Dental, and Vision Insurance Plan options 401(k) match Flexible Time Off Flexible Work Environment - (i.e. Mon/Tues/Thurs in-person) Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program Lunch Allowance (Fooda) and In-office Snacks Summer Fridays Fun In-Office and Virtual Social Events And who doesn't love the swag Check out our Avant Blog! We believe that a diverse set of backgrounds and experiences helps us create the most innovative solutions for our customers. We invite you to apply to our positions even if you do not meet 100% of the qualifications listed in the description. If you're passionate about our mission and aligned to our values, we hope you'll come contribute to our awesome culture. Why Avant is the place for you: At Avant, we believe our values make a difference: Authenticity. We show up to work as our whole selves and make sure others can too. Collaboration. We can only succeed when we do so as a team. Problem-Solving. The harder the problem, the more satisfying the solution. Customer. We are all owners of the customer experience. Initiative. Plan. Adapt. Get Sh!t Done. We believe that great ideas come from anyone and anywhere, that everyone is an owner who drives change, and that we have more fun when we work together. We're problem solvers who love collaborating with intelligent and highly-motivated people to reshape the face of digital banking. Avant offers terrific perks and benefits, fun social events with employees who actually like hanging out together, and a flexible growth environment where trying your hand at new projects and being the active owner of your career path is encouraged and supported.

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Northern Trust is looking for experienced modelers/data scientists to join the Risk Advanced Analytics team. Responsibilities include working with large and complex data sets (both internal and external data) to develop, monitor and support the implementation of advanced analytics solutions and regulatory models The key responsibilities of the role include: Perform data analysis and advanced modeling techniques to solve complex business problems, provide insights and create innovative solutions Develop econometric forecasting models for key balance sheet and income statement line items (e.g. deposit forecasting, revenue forecasting) under different macroeconomic scenarios as part of the annual stress testing exercise Create predictive models for estimating probability of default and losses as part of the Bank's capital adequacy process Exercise independent judgement in identifying and resolving problems within established guidelines and development framework Interact with the Data Analytics team to request and ensure high quality data are utilized in the model development process Communicate regularly with key business partners, management, oversight committees and regulators by acting as a subject matter expert. The successful candidate will benefit from having: Graduate degree in a related field (math, statistics, economics) is required 5+ years of experience in banking and/or data science /modeling is required Experience with developing CCAR and PPNR models is preferred Experience with Time Series modeling techniques is required Excellent analytical skills and high attention to detail Experience using statistical programming languages such as Python, SAS, SQL Excellent oral and written communication skills, including presentation and data visualization skills Ability to effectively communicate with peers, senior management and overseas partners Ability to work under pressure, manage and prioritize multiple deliverables. #LI-LK2, #LI-Hybrid Salary Range: $83,100 - 141,300 USD Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

We have many opportunities available on our other career site pages. Click here to link to our careers page! Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People - and the love their actions inspire - are what drive us. We're not only proud of the love we inspire outside our walls, we're especially proud of the diversity, inclusion and equity we're inspiring inside. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us! We are seeking a forward-thinking leader to drive innovation in AI/ML product development and machine learning operations (ML Ops). This role will lead the design and deployment of advanced data science and machine learning solutions that enhance decision-making and deliver measurable business value. You will play a key role in shaping the strategic use of data across the organization, leveraging emerging technologies and best practices to build scalable, impactful models. In addition to technical leadership, this position is responsible for building and developing a high-performing, diverse team of data science professionals. You will provide hands-on mentorship, foster a culture of innovation, and lead by example in applying analytical solutions that support business growth. The ideal candidate will also serve as a key advocate for data science across the organization-partnering with stakeholders, advising leadership, and championing the adoption of AI/ML tools and practices to create a more data-driven culture. KEY RESPONSIBILITIES: Lead and inspire the development of advanced data science, statistical models, AI, and ML capabilities. Revolutionize insight driven decision-making across retail functions and brand teams. Stay updated on industry trends and emerging data science techniques. Implement ML Ops practices for scalable and efficient machine learning model deployment. Guide Enterprise Analytics teams in using AWS services to build accurate, insightful models while minimizing technical debt. Recruit, inspire, and lead a diverse team of data science professionals. Provide coaching, mentorship, and hands on support to foster innovation and personal growth. Lead by example in applying analytical solutions that drive growth. Partner with data and analytics leaders to create an insights driven culture. Consult and advise executives as well as collogues on AI/ML solutions for better decision-making. Encourage the adoption of data science tools to enhance performance and inspire business leaders. POSITION QUALIFICATIONS: Bachelor's degree required; advanced degree (MA/MS/PhD in Statistics, Mathematics, Data Science, or MBA) strongly preferred 10+ years of experience leveraging data science to uncover business insights, improve customer experiences, and drive strategic value Proven track record developing analytics strategies, tools, and automated reporting systems to enable data-driven decision-making Deep expertise in data management, data analysis, and working with diverse datasets and tools across large-scale environments 5+ years leading and mentoring data science teams, including experience managing offshore and cross-functional teams Strong foundation in statistical methods and techniques such as regression, clustering, forecasting, decision trees, ANOVA, and experimental design Hands-on experience deploying AI/ML models to enhance performance and decision-making, ideally within a retail or consumer-focused environment Proficiency in analytics tools and technologies including SQL, Python, R, SAS, Tableau, Power BI, Alteryx, and cloud platforms (preferably AWS) Exceptional communication, project management, and executive presentation skills, with experience managing budgets and vendor relationships PERKS AND BENEFITS: Comprehensive healthcare, dental, and vision insurance to keep you and your family covered Fertility Benefits, with a max of $15,000, for participants in the U.S. medical plans/prescription plans Generous 401(k) matching after just one year to help secure your financial future Ample paid time off, plus seven holidays to recharge and unwind Exclusive discounts on premium merchandise just for you Dynamic Learning & Development programs to support your growth And more! The salary range for this opportunity is $185,000 - $210,000. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider & Safety team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists and managers to take on some of the most interesting and impactful problems in ridesharing. We’re seeking a highly analytical and product-focused leader with strong business intuition, technical expertise, and a collaborative mindset. The ideal candidate is deeply curious, comfortable navigating ambiguity, and passionate about leveraging data to drive product strategy and business outcomes. As the data science manager, you’ll help develop the vision, set roadmaps, and lead execution for projects in Rider New Product & Partnerships. These pods are responsible for some of the key strategic initiatives in Rider, with frequent exposure to the company’s senior leadership team. You will be reporting to the Senior Data Science Manager leading Lyft’s Rider & Safety Data Science & Analytics team. Responsibilities:  Lead and grow a high-performing team of data scientists with various backgrounds including analytics, experimentation, machine learning, and causal inference. Lead and coach the team to investigate complex problems and identify key drivers of product performance and customer behavior Be a thought leader and go-to expert for goals, strategy, and long-term vision Develop clear, insight-driven narratives about our users, translating findings into actionable recommendations Influence product roadmaps by forming data-backed perspectives and guiding prioritization decisions Operate effectively at both the strategic and tactical levels, including regular engagement with senior leadership Facilitate and foster a data-driven culture and informed decision making and prioritization Design and implement data frameworks to evaluate and prioritize high-impact product initiatives Experience:  Advanced degree in a quantitative field like computer science, statistics, economics, operations research, or engineering; or relevant work experience 6+ years of hands-on technical experience in machine learning, causal inference, or data science 4+ years of management experience building and leading data science teams Strong track record of using machine learning and data science to improve business outcomes Strong track record of guiding teams through unstructured technical problems to deliver business impact Skilled at managing cross-functional relationships and communicating with leadership across multiple teams Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. 

Tiger Analytics is seeking a Data Science Analyst to join our team in Evansville, Indiana. The ideal candidate will have over 5 years of experience in the data and analytics space, with a strong grasp of data analysis, business analysis, and requirement gathering. Experience in the Consumer Packaged Goods (CPG) industry is highly preferred. Key Responsibilities Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Work closely with business stakeholders to understand requirements and translate them into data-driven solutions. Collaborate with cross-functional teams to define business problems and develop actionable analytical models. Design and execute quantitative analysis, including statistical modeling and forecasting. Prepare clear visualizations and reports to communicate findings to non-technical audiences. Support the development of dashboards and KPIs to monitor business performance. Contribute to a culture of data-driven decision making across the organization. Requirements Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. 5+ years of hands-on experience in data analytics and business analysis. Proficient in tools such as SQL, Python, and data visualization platforms (e.g., Power BI, Tableau). Strong analytical thinking and problem-solving skills. Experience with requirement gathering and stakeholder engagement. Excellent communication and presentation skills. Prior experience in the CPG industry is a strong plus. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Hi, Title – Sr. Software Engineer – Data Science Position – Fulltime Location – Boston, MA Salary - $Open (Best Possible) Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, Math, or related technical/science field 5+ years of software engineering experience 2 years data science / machine learning experience Requirements Preferred Qualifications: Significant experience with Python and Python data stack Professional experience with the “PyData” stack – e.g. NumPy, pandas, matplotlib, Jupyter Notebook Experience with Java and Apache Spark Nice to have: experience in healthcare analytics; experience in Apache Spark Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen.  Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age’s Data & Insights Agency of the year for the second year in a row . Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known’s Skeptic team builds the tools that power Known’s media buying practice and elevate the media campaigns of our clients. Our work ranges from predictive modeling / optimization to infrastructure development, and Skeptic’s data scientists and engineers are challenged every day to push the limits of advanced advertising.  We are seeking a Director of Data Science who can understand the core business objectives of our internal teams and our clients, and develop tools tailored to their use cases. Experience in media, including but not limited to Media Mix Modeling, TV viewership predictions, and reach / frequency optimization, is a plus, but not required for the role. In this role you will work with, and guide, other data scientists on a variety of projects and interface directly with our engineering, media strategy, and channel data science teams. As a Director of Data Science, you will drive forward some of our most difficult data science projects and be expected to be a true technical leader, able to build production level products from start to finish. This role will not have direct management responsibilities but you will serve as a mentor for data scientists across the organization. WHAT YOU’LL DO Developing new techniques (e.g., ML models, optimization algorithms, and automation) to improve Known IP and create tools for Known’s clients  Working with other data scientists and engineers to productionalize new tools  Managing the ingestion and cleaning of new datasets relevant to your work / projects Mentoring other data scientists on our team Speaking to clients to understand business needs and communicate back results / solutions WHO YOU ARE AND WHAT YOU HAVE A Masters or PhD from a well-regarded college or university.  STEM degrees are preferred.   7+ years of hands-on experience doing quantitative analysis, modeling, optimization and/or statistics. Experience utilizing Python and SQL. 5+ years of experience building data science software Experience in advertising or advertising technology is a plus Skills, abilities, and knowledge Superb communication and presentation skills An ability to translate abstract business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work Experience working on a tech team, with experience in cloud technologies, version control, etc. Competencies Ability to prioritize time, work and effort while multitasking on multiple projects Desire to mentor and teach others Collaborative attitude Self motivated and exhibits initiative Willing & able to learn quickly Abundant intellectual curiosity and integrity SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $180K-$200K.             This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

Are you ready to make an impact? West Monroe is seeking a Director, Data Science for our rapidly growing Technology and Experience practice. As a Director Data Science, you will join a Leadership Team focused on cultivating teams that leverage data to unlock actionable insights for our clients, while mentoring the next generation of data science leaders at West Monroe. This role entails significant responsibility in shaping and delivering our Analytics vision; candidates should be passionate about what they do and be prepared to embrace West Monroe’s fast-growing and entrepreneurial environment. This leadership role will have three areas of responsibility: Practice Development Collaborate with national and local leadership within Data Engineering & Analytics practice and across West Monroe (WM) industry and functional practices, to develop and deliver multi-disciplinary, data-driven offerings Actively lead innovation activities, often in partnership with industry and functional experts and data engineers, to expand and enhance WM’s Analytics solutions and capabilities Develop knowledge of emerging data science techniques; socialize and teach concepts to WM data science community Lead, mentor and grow consultants and actively participate in the career advisory and performance management process Actively participate in recruiting and retaining top quality data scientists Client Delivery Provide quality assurance and conduct frequent touch bases with client executives to ensure value is realized and understood from our engagements Manage and influence multi-disciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver impactful results for our clients Develop and deploy data-driven offerings and accelerators focused on addressing industry-specific challenges Provide leadership and mentorship for teams of data scientists on analytical techniques, and guide the translation of insights into actionable recommendations across multiple projects Excellent communication skills to be able to work with client representatives at all levels Establish and maintain relationships with external data and analytics vendors Business Development Engage with business partners across the firm to identify and cross sell opportunities Cultivate new and existing client development opportunities related to data and analytics Understand client needs to translate challenges and objectives into proposals Develop thought leadership in leading analytics techniques, including how to apply emerging ML techniques to deliver commercial results Attend conferences and networking events to further WM’s brand and market perception related to data and analytics   Qualifications Preferred Master's degree or PhD in a quantitative discipline (e.g., computer science, applied statistics, mathematics, econometrics, engineering) or equivalent experience 10+ years of technical experience in machine learning and statistics related work 5+ years of experience managing data scientists Demonstrated ability to apply advanced analytical and data science methods to commercial scenarios Extensive programming experience in Python or R Extensive experience designing and deploying machine learning solutions, including experience with leading cloud platforms (AWS, GCP, Azure) and corresponding machine learning services Ability to collaborate with WM team members across the firm (e.g., levels, geographies, practices) Strong presentation and communication skills, including the ability to explain complex technical concepts to non-technical audiences Entrepreneurial spirit and willingness to innovate on new and emerging solutions Legally authorized to work in the United States without limitation Ability to Travel, as required based on client and practice demands (expected to be 30%) Based on pay transparency guidelines, a reasonable expectation for the salary range for this role is listed below. Information on our competitive total rewards package, including our bonus structure and benefits is here .  Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.​ Employees in proximity of our Seattle, Washington DC, Los Angeles, New York, and San Francisco offices will have a geographic premium applied to this salary scale.  Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Ten weeks of paid parental leave will also be available for use after successful completion of one year of employment.​   National $212,000 — $240,000 USD West Monroe is a digital services firm that partners with companies in transformative industries to deliver quantifiable financial value. We believe that digital is a mindset and it’s something companies become, not something they do. We bring together diverse, multidisciplinary teams that use their expertise to develop and execute new ideas and ways of working.    At West Monroe, we invest in our people and care in a big way. We are growing the next generation of leaders who lead with inclusion, enabling us to address our clients’ most complex challenges. If you’re looking for a place where you’ll feel supported, our team will help you grow. We believe that growth breeds opportunity for all. And know that when we come together, we can do what's never been done.   Our fast-paced culture and collaborative teams bring the energy and expertise needed to make an impact and deliver beyond expectations. If you are ready to set big goals with us , j oin us on our journey of building what matters for our clients, our people, and our communities.   West Monroe   is an Equal Employment Opportunity Employer   We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion .   If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here .  

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our Fort Mill, SC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. We are looking to hire a Senior Data Science Product Manager to join our Deregulated Energy industry group on our marketplace business. This product team is responsible for transforming our sales center, digital buy flows, and our business operations through applications in AI & ML. This group focuses on both building the underlying technology and applying the applications to the business opportunities to create value. Example projects include building agentic workflows for site personalization and real-time technology, powered by generative AI, to assist our sales professionals. In this role, you will have the opportunity to own product life cycles from end to end. You will be responsible for establishing our strategy, setting roadmaps for the team, driving adoption of our machine-learning-driven applications, creating value, and utilizing end-user feedback to determine what to do next. We expect our data science product managers to be hands-on technical, both in how they leverage data to identify opportunities and leverage the team’s AI/ML solutions to drive business value and usage. We are looking for individuals who have experience in a hands-on role such as a data scientist or data analyst given some portion of this job will expect you to roll up your sleeves and get into the data. This role will have a high level of visibility across the industry group. You will be the point-person for a key initiative with multiple senior stakeholders while working cross-functionally across the greater Energy and our Central Technology teams. Your contribution to the organization will be multifaceted – we are looking for someone who has a strong data foundation, can effectively collaborate with their development team, and can influence business decisions using their expertise and communication skills. We believe that diverse, inclusive teams are better teams. Think of the bullets below as guidelines: if you only partially meet the qualifications on this posting, we encourage you to apply anyway! This is a hybrid position located in our South Charlotte office. What You'll Do Operate as the day-to-day lead on a strategic initiative, ensuring alignment with product leadership, business objectives, and customer needs. Identify opportunities, form the business case, and establish the strategy for data science-powered applications, assessing the feasibility, impact, and business value of AI/ML solutions. Translate high-level objectives into cohesive roadmaps and detailed technical deliverables, guiding engineering and data science teams through execution, and effectively delegating to junior product teammates. Own outcomes - lead hands-on execution in delivery, driving business value through KPI identification, experimentation, and optimization, creating case studies and playbooks for others to replicate. Solve our hardest problems - this may be owning our most complex / ambiguous workstreams or it may be hands-on technical/ML contributions to proof-of-concepts / prototypes to demonstrate feasibility and value of potential investments.  Mentor and develop junior DSPMs, helping them take ownership of workstreams, build product sense, and apply technical skills to drive business outcomes. Who You Are You have an entrepreneurial mindset with strong business acumen and are capable of coming up with data-driven ideas to create value for consumers and the business You have a strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, get your hands dirty, and explain technical concepts to non-technical stakeholders. You are results-oriented. You can guide a team to focus on the activities that will drive the largest lift to targeted metrics You are a proactive problem solver. You can discern input from multiple stakeholders, integrate data-driven insights with intuition, and prioritize workstreams effectively to maximize effectiveness and efficiency. What We're Looking For Demonstrated ability in driving business decisions and behavior changes through machine learning and advanced analytics capabilities. Experience influencing cross-functional leadership, negotiating trade-offs, and making high-impact product decisions in ambiguous and fast-paced environments. Demonstrated ability to help identify areas of opportunity where ML/AI could be applied and experience contributing to the creation of the final product - either hands-on or in a product management capacity Hands-on experience in data-related programming languages (e.g., SQL, Python, R)  Excited about solving problems through consumer-facing solutions on a digital marketplace. Compensation Cash Compensation Range: $150,000-$185,000* + Potential Equity *Note actual salary is based on geographic location, qualifications, and experience. Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Who We Are Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com .  If you are based in California, we encourage you to read this important information for California residents linked here . #LI-KS1 #LI-TL1 Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Data Science Extern at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for? BetterHelp is looking for a Data Science Extern to help us scale and increase our impact. You will use data to drive insight into the product and business with a focus. The ideal candidate would have experience analyzing large and complex data sets related to web products. You'll be doing plenty of experiment design and post-hoc analysis to support product improvements and business decisions. What will you do? Get insight from an enormous amount of data, and take a proactive role partnering with the product team in finding and testing data-driven ideas for improving our products. Collaborate with the product team and development team to design effective, statistically rigorous experiments, including simple A/B tests as well as more advanced experiment designs that account for complexities such as network effects. Monitor and analyze several product tests with statistical rigor, present the data and insights to the team, and drive product decisions. Look at complex problems and come up with testable models and algorithms that have measurable business impact. Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. What will you NOT do? You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. Requirements Recently completed or currently pursuing a degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering Experience with SQL Basic knowledge of tools like R or Python for data analysis Some experience or coursework in data analysis, experiment design, A/B testing, and statistical methods Strong understanding of statistical concepts, particularly related to hypothesis testing and experiment design Excellent communication skills, with a willingness to learn how to present complex ideas in a clear and accessible manner Bonus (Great to have but not required) Familiarity with analyzing A/B tests or similar experiments through coursework or projects. Interest in B2C or marketplace products. Experience with data visualization tools like Tableau or Looker. Benefits The chance to build something that changes lives – and that people love An awesome community of co-workers Meaningful projects: Apply your education to real-world challenges through hands-on, impactful work that is both rigorous and rewarding. Growth & development: Expand your skills through mentoring, job shadowing, lunch & learns, and hands-on project work that supports your personal and professional growth. Dedicated support: Benefit from a manager and mentor who will provide ongoing guidance and support throughout your internship. The hourly rate for this position is $50 - $60 per hour. At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity This position can work remotely in the continental U.S. with occasional business travel. Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and inspire change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. What you’ll do: Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies. Applies advanced analytical techniques to tackle business problems that are typically medium to large scale with significant impact to current and/or future business strategy. Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change Translates recommendation into communication materials to optimally present to various levels of management. Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences. Identifies and captures the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA). Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply. Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements. Understands and embraces emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy. Provides subject matter expertise in operationalizing recommendations. Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business proven experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.). Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making. Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights. What sets you apart: Experience with marketing data and analytics. Advanced knowledge of data validation and data cleaning techniques. Advanced knowledge of experimental design (e.g., A/B testing). Data solution engineering with heavy SQL background. Cross functional experience with Insurance Agency Operation Teams. Familiarity with Insurance Agency Products. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. What we offer: Compensation : The salary range for this position is: $114,080 - $205,340. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Position Description Job Title: Data Science Leader; Technology Location: New York, NY preferred or US – Remote can be considered Reports to: Chief Technology Officer Position Summary: Are you an ambitious and mission-driven Technology Leader eager to make an impact in public health? IAVI is seeking an ambitious Data Science Leader who will work closely with Chief Technology Officer as part of the Data and Analytics Engineering team. The Data Science Leader will develop and implement data-driven strategies to drive business growth and enhance decision making. The Data Science Leader will help to define data management and governance strategies, collaborate on transformation projects, and leverage modern cloud data architectures to align data initiatives with organizational goals. Key Responsibilities: Lead the design, development, and deployment of a large-scale IT ecosystem that will drive innovation in pharma R&D. Lead cross-functional teams in breakthrough AI/ML innovations. Build software to extract, transform and load data – Microsoft Fabric, Azure Data Factory, Synapse Lakehouse architecture. Lead the development of core platform services integrating Gen-AI, AI, and ML capabilities. Design and develop advanced AI solutions using Python, leveraging Lang Chain for building applications powered by LLMs. Build and optimize RAG pipelines using vector databases and embeddings to handle large amounts of structured and unstructured data. Cloud Resource Management: Manage cloud resources using infrastructure as code (e.g., ARM templates, Terraform, CloudFormation) and automation tools. Other tasks assigned by the Chief Technology Officer. Education and Work Experience: Minimum of BS degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 10+ years’ experience in data science, software development, data modeling or data engineering work required; OR Advanced (MS or PhD) Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years’ experience required. Experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch), cloud computing, data processing, API development, ML Ops, CI/CD pipelines, container orchestration, and coding languages is required. Data analytics and data engineering along with regulatory experience is preferred. Qualifications and Skills: Hands on coding experience in languages including, but not limited to, C, C++, C#, Java, or Python is required. Experience with security frameworks and compliance standards (SOC 1/2 , HIPAA, HiTrust, CSI, NIST) is preferred. Experience with Azure Machine Learning or similar systems, including deployment and monitoring of large-scale pipelines in cloud and Kubernetes environments is required. Expertise in Azure services including Azure Virtual Machines, Azure App Services, Azure SQL, Azure Functions, Insight/Monitor, etc, is preferred. Experience with ML and AL framework and libraries such as TensorFlow, sklearn, PyTorch, pandas, and transformers is preferred. Familiarity with DevOps practices and tools, such as Docker, Kubernetes, and CI/CD pipelines. Ability to perform well in a complex work environment and address numerous simultaneous requests effectively. Ability to deliver high-quality, accurate work within tight deadlines. Ability to work independently as well as function as a team player. Organizational Overview: IAVI is a nonprofit scientific research organization dedicated to addressing urgent, unmet global health challenges including HIV and tuberculosis. Our mission is to translate scientific discoveries into affordable, globally accessible public health solutions. Through scientific and clinical research in Africa, India, Europe, and the U.S., IAVI is pioneering the development of biomedical innovations designed for broad global access. We develop vaccines and antibodies in and for the developing world and seek to accelerate their introduction in low-income countries. IAVI programs and partnerships are grounded in the regions of the world where the disease burden is the greatest, and our approach emphasizes sustainability. Our network of clinical research center partners in Africa and India helps strengthen in-country research capacity and supports the training and education of the next generation of scientists. The global impact of our science includes fundamental contributions to understanding the biology of HIV infection, which IAVI and others are applying toward advancing vaccine science and immunology. IAVI accelerates scientific discovery and development by fostering unique collaborations among academia, industry, local communities, governments, and funders to explore new and better ways to address public health threats that disproportionately affect people living in poverty. Our global reach, including a clinical research network in five countries in sub-Saharan Africa and in India, has allowed us to make fundamental contributions to understanding the epidemiology, transmission, virology, and immunology of HIV. This work played a key role in facilitating the design of promising HIV vaccine candidates, as well as the discovery of broadly neutralizing antibodies that are now being advanced as promising approaches for HIV prevention. Our integrated capabilities in vaccine and antibody discovery, development, and clinical research take advantage of bio-pharmaceutical industry expertise to accelerate the development and testing of prevention methods for HIV and other diseases. Through the Product Development Center, we support external researchers with technical and scientific expertise to accelerate the development of their own products. IAVI CORE VALUES: Dedication to the Mission: We are committed to the translation of scientific discoveries into affordable, globally accessible public health solutions. Innovative Evolution: We are committed to solving complex problems in creative and innovative ways, learning from our mistakes and successes and never giving up Integrity: We are committed to meeting the highest ethical and professional standards in everything we do and to taking responsibility for our actions to earn respect Collaboration: We are committed to embracing diversity, the power of global teamwork and the belief that by working as one we can make a difference Disclaimer: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities and skills required of personnel so classified. This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship. IAVI is an equal opportunity employer and applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. IAVI IS AN EQUAL OPPORTUNITY EMPLOYER dedicated to fostering a diverse and inclusive global organization. We recognize that a variety of backgrounds and perspectives enriches our work and strengthens our ability to achieve our mission. IAVI is committed to recruiting, developing, and retaining individuals through a merit-based approach. At IAVI, we celebrate the spectrum of colleagues’ experiences and believe that dedication to our mission above all is essential to our success as a scientific non-profit organization focused on global health. Zero Tolerance IAVI is an equal opportunity employer. It is IAVI’s policy to provide equal opportunity without regard to race, citizenship, color, sex, gender identity or expression, age, height, weight, disability (including physical and mental conditions unrelated to job performance), religion, creed, caste, home language, ancestry, national origin, pregnancy, marital or partnership status, sexual orientation, status as a protected veteran, ethnicity, genetic information, predisposing genetic characteristic, status as a victim of domestic violence, stalking and sex offenses, HIV status, or any other status protected by applicable federal, state, or local laws. Compensation and Benefits Information for US-Based Candidates: Annual base salary for this position is: $180,000.00 - 200,000.00 Please note, there may be some variation based on experience level. In addition, this position offers competitive benefits including: generous retirement savings plan employer contributions; competitive health, dental and vision insurance plans; competitive paid time off policy; potential for annual bonuses based on performacne; and other benefits. More information can be found on IAVI's career page.

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments — at the core of these operations is data. As a Senior Data Science Engineer, you will be developing, maintaining, testing, and leading projects regarding streaming data and MLOps infrastructures to enable PrizePicks to offer real-time simulation based market pricing within the product. What you’ll do: Create and maintain optimal sport data stream architecture, ensuring data reliability in both speed and quality for both raw and transformed data pipelines. Partner with Data Science to determine best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability. Steer the design, implementation, and deployment of the data, MLOps, and API stack required for real-time pricing models, personalization/recommendations, risk management tooling, and other critical functions by contributing to architecture evaluations and decisions for the evolving data product roadmap. Partner cross-functionally with Engineering, QA, and Product teams to enable the creation and distribution of highly-visible and real-time data products to the PrizePicks platform. Build and own rigorous monitoring, alerting, and documentation processes, and work with Engineering teams to ensure complete feature uptime. Grow as a thought leader in the broader PrizePicks technology org, staying abreast of and implementing novel technologies, and disseminating knowledge and best practices to junior members of the team and collaborators alike. What you have: 5+ years of experience in Backend Engineering/Machine Learning Engineering, shipping and maintaining production-grade systems for internal tools and product users. 2+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers and scientists. Extensive experience exposing real-time predictive model outputs to production-grade systems, leveraging large-scale cloud-based data streaming pipelines and infrastructure. Extensive experience working cross-functionally with data engineering, data science, product, and engineering teams, as well as external data providers and 3rd party services. Experience in most of the following: SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, Scripting languages: SQL, Python, Go, Rust. Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine. Code version control: Git Code testing libraries: PyTest, PyUnit, etc Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow Modeling methods: classical ML techniques, deep learning, gradient boosting, bayesian methods, generative models. MLOps tools: DataBricks, MLFlow, Kubeflow, DVC. Data pipeline and workflow tools: Airflow, Argo Workflows, Cloud Workflows, Cloud Composer, Serverless Framework. Monitoring and Observability platforms: Prometheus, Grafana, Datadog, ELK stack. Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager. Other platform tools such as Redis, FastAPI, Docker and data visualization tools such as Streamlit or Dash. Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams Graduate degree in Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field What makes you stand out: Experience building real-time production data science pipelines in a daily fantasy sports or oddsmaking business Where you’ll live: While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical salary range for this position is $160,000 to $220,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: 5/6/2025 1st Extension:6/6/2025 Benefits you’ll receive: In addition to your great compensation package, full-time employees will be eligible for the following perks: Company-subsidized medical, dental, & vision plans 401(k) plan with company match Annual bonus Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) Generous paid leave programs, including 16-week paid parental leave and disability benefits Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked Company-wide in-person events and team outings Lifestyle enhancement program Company equipment provided (Windows & Mac options) Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job Description Wentworth Institute of Technology’s School of Computing & Data Science invites applications for an Open-rank Professor or Lecturer in Computer and Data science for FALL of 2025 . Key Responsibilities : Teaching both undergraduate and master’s level computer science and data science courses. Engaging in research and scholarly activity. Performing service to the university and the profession, which includes academic advising, student engagement, and serving on committees. Minimum Requirements : M.S. in Computer Science or related discipline. Demonstrated success in teaching at the undergraduate and graduate levels Demonstrated success with research and scholarly activities related to Computer and Data Science At least 3-5 years of demonstrated practical/ industry related experience. Ability to demonstrate a commitment to working effectively with faculty, staff, and students from diverse ethnic, cultural, and socioeconomic backgrounds Preferred Qualifications : Ph.D. in Computer Science or related discipline. Wentworth seeks to increase the diverse perspectives of its faculty and encourages applications from members of underrepresented groups in STEM (Science Technology Engineering and Mathematics). About Wentworth & SCDS: Founded in 1904, Wentworth Institute of Technology is an independent, co-educational, nationally ranked university offering career-focused education through 24 bachelor’s and 13 master’s degree programs in areas including Computer Science, Data Science, Cybersecurity, Engineering, Architecture, Design, and Construction Management. Wentworth’s mission is to prepare our students for career success through experiential learning. Recent new programs include both a B.S. and M.S. in Data Science, launched in 2023 and 2021 respectively. The School of Computing & Data Science consists of 30+ full-time faculty that offer undergraduate majors in Computer Science, Cybersecurity, IT, Data Science, and Applied Mathematics and graduate degrees in Applied Computer Science, Data Science, and Cybersecurity Analytics. The school has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile/web application development, stochastic processes, dynamical systems, financial math and modeling. In addition, members of the school have close collaborative relationships with faculty in sciences, humanities, and electrical and computer engineering, among others. Application Procedures: Review of applications will begin January 20, 2025 and will be accepted on a rolling basis. Please complete application by submitting the following attachments: Cover Letter – Please ensure your cover letter is your original work and addresses how you and Wentworth are a good fit. Curriculum vitae Teaching Statement – Please ensure your teaching statement is your original work and addresses how you engage students similar to the Wentworth students. Research Statement - Please ensure your research statement is your original work and addresses your past research and what you see yourself working on at Wentworth. Diversity Statement – Please ensure your Diversity statement is your original work and addresses how you have contributed to diversity in your past. Inclusive Excellence at Wentworth Wentworth Institute of Technology is committed to diversity, equity, and inclusion in all University programs and activities. The University does not discriminate based on race, color, national origin, sex, sexual orientation, religion, disability, age, genetic information, gender identity, veteran status or any other category protected by law. All qualified applicants will receive consideration. To find out more about the Wentworth’s commitment to Diversity, Equity and Inclusion, please visit the website https://wit.edu/about/diversity . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu . E-Verify for Employment Eligibility Verification ( Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.