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

As Data Engineering Lead, you will own SuperDial’s data platform end-to-end. You will be responsible for scaling the warehouse, pipelines, and analytics workflows that power product decisions, go-to-market execution, and company-wide planning. This role is ideal for someone with a strong analytics engineering foundation who has grown into data platform ownership and wants to operate as a true lead, leveraging data analytics and insights proactively to help shape the direction of SuperDial. About the Role: Own and scale SuperDial’s data warehouse and analytics stack Lead development of robust dbt-based transformation layers that power trusted metrics Design and maintain data pipelines that integrate product, GTM, and platform data Manage and evolve data engineering workflows, orchestration, and dependencies Partner with platform and product teams to support operational and analytical data needs, including performance-intensive use cases Build clean, well-documented data models that serve as the source of truth across the business Create high-impact dashboards and analyses that inform revenue, product usage, and customer behavior Implement data quality checks, monitoring, and alerting to ensure reliable, decision-ready data Establish best practices for modeling, testing, and analytics development as the company scales 30 / 60 / 90 Day Expectations 30 Days Ramp on SuperDial’s product, data sources, and existing warehouse Audit current dbt models, pipelines, orchestration, and reporting Understand platform data needs and performance considerations Ship early improvements to data quality, reliability, or documentation Build strong relationships with Product, Platform, GTM, and Finance 60 Days Take full ownership of the data warehouse and analytics workflows Improve or refactor core dbt models to support consistent metrics Strengthen orchestration, testing, and monitoring across pipelines Partner with engineering teams on platform-oriented data use cases Deliver dashboards or analyses that materially improve decision-making 90 Days Establish a scalable data architecture and analytics engineering strategy Proactively identify gaps in data availability, quality, or performance Improve reliability and maintainability of data workflows end-to-end Act as the go-to owner for data strategy and execution Lay the groundwork for future platform-oriented or high-scale data systems About You: 2+ years of experience in Analytics Engineering, Data Engineering, or BI Engineering roles Deep hands-on experience with dbt, especially incremental models, and modern analytics engineering workflows Very strong SQL skills and a track record of designing durable data models Prior ownership of a production data warehouse in a scaling environment Experience managing data pipelines, orchestration, and workflow dependencies Proficiency with Python and orchestration tools such as Airflow or similar Familiarity with cloud data platforms and infrastructure, and NoSQL databases (like Google Cloud Firestore, Mongo, etc.) Experience working with high-performance or specialized data systems (e.g., ClickHouse or similar) is a plus Strong ownership mindset with comfort driving ambiguous initiatives end-to-end Clear communication skills and ability to partner with technical and non-technical stakeholders Why SuperDial True ownership over the company’s data and analytics foundation High-impact role influencing product, platform, and GTM strategy Small, high-caliber team solving meaningful problems in healthcare Competitive compensation and meaningful equity Opportunity to shape and grow the data function over time Who we are: SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare! The base salary for this role ranges from $185,000-$240,000, depending on experience, skill set, and fit. We also offer equity and benefits as part of our total compensation package. Final offers may vary based on experience and qualifications - we’re always open to exceptional talent.

Position Summary: We are seeking a dynamic and forward-thinking data and analytics administrative coordinator who will bring their administrative expertise to the table and play a vital role in supporting multiple departments by managing critical data, assisting with invoicing and costing, and providing analytical and administrative support to Customer Success, Finance, Food Science & Quality, and Operations teams. This role ensures accuracy of information, timely reporting, and effective cross-functional communication to support efficient manufacturing and exceptional customer service. To thrive in this role, you must possess the ability to multitask. You will be responsible for collaborating with multiple teams and departments, compiling data and preparing reports, as well as updating and maintaining systems and database platforms. Additionally, a firm grasp of business objectives is crucial for translating them into clear projects and company goals. Excitingly, we are looking for individuals who are highly motivated, team players and share our unwavering passion for organizational success. Key Responsibilities: Customer Service Support: Prepare and process customer invoices accurately and in a timely manner. Maintain customer records, pricing files, and order history within company systems. Assist with creation of customer reports, sales summaries, and account performance metrics. Serve as a liaison between Customer Success, Finance, and Operations to resolve billing or order discrepancies. Financial & Costing Support: Assist Finance with product costing, margin analysis, and data entry. Compile and validate production and material usage data for cost reviews. Maintain spreadsheets and dashboards used for financial and operational decision-making. Support month-end reporting and reconciliation as needed. Food Science & Quality Support Assist the Food Science and Quality Director with organizing analytical data, product specifications, and testing results. Help maintain documentation related to SQF, GMP, and regulatory compliance. Enter and track quality metrics, laboratory results, and product evaluations. Support preparation of customer documentation, COAs, and technical information. Operations Support Collect and analyze production data to support efficiency and continuous improvement initiatives. Prepare reports on yields, downtime, labor, and material usage. Assist with scheduling, inventory tracking, and coordination between departments. Maintain accurate filing systems for operational record Required Skills & Qualifications Associate degree in Business, Accounting, Data Analytics, or related field (or equivalent experience). 2+ years of administrative or data-focused experience in a manufacturing environment preferred. Strong proficiency in Microsoft Excel, ERP/MRP systems, accounting systems, Quick Books, and data reporting tools. High attention to detail with strong analytical and problem-solving skills. Ability to manage multiple priorities and meet deadlines. Excellent written and verbal communication skills. Understanding basic accounting, invoicing, and costing principles. Experience in food manufacturing, SQF, or quality systems a plus. Core Competencies Data accuracy and integrity Cross-functional collaboration Confidentiality and professionalism Initiative and self-direction Process improvement mindset Physical Requirements Ability to work in an office and manufacturing environment. Prolonged periods of sitting and computer use. Occasional walking in production areas with required PPE. Work Environment: Office-based position within a food manufacturing facility Regular interaction with Customer Service, Finance, Production, Procurement, and Quality teams Must adhere to company policies, food safety, and documentation standards. Benefits Experience a diverse range of comprehensive benefits, including medical, vision, and dental coverage. Take time away from work and recharge with generous paid time off and "dream" days off. Participate in exciting company events that foster camaraderie and team spirit.

Job Description: We’re KSM, one of the top 50 largest independent advisory, tax, and audit firms in the United States. But more than our size, it’s our people and culture that set us apart. We believe great things happen when people are supported, challenged, and given the freedom to do their very best work. That’s why we’ve built a workplace where your career and personal life can thrive together – where you have the flexibility to manage your time, the resources to grow, and a team that genuinely cares about your success. We’ve been employee-owned since 2001, giving every team member a stake in our collective success. This ownership mentality fosters a culture of collaboration, curiosity, and excellence – where new ideas are welcomed, different perspectives are valued, and you’re encouraged to explore what excites you most. Whether you’re expanding your skills, tackling new challenges, or making an impact beyond the office, we provide the resources and support to help you grow in the direction that’s right for you. At KSM, your contributions matter – not just to the firm, but to your colleagues, clients, and the communities we serve across the U.S. If you’re looking for a place where you can do meaningful work, build lasting relationships, and grow in ways that align with what’s most important to you, we’d love to meet you. Position Summary: Katz, Sapper & Miller (KSM) is transforming into a data-driven, AI-empowered firm. The Data Architect will lead the design and implementation of KSM’s enterprise data lakehouse on Databricks, enabling analytics, automation, and AI across the organization. This role combines strategic vision and hands-on technical execution, ensuring data is modeled, governed, and leveraged as a strategic asset. Responsibilities: Design KSM’s Databricks-based lakehouse architecture, integrating structured, semi-structured, and unstructured data from diverse enterprise systems. Define the end-to-end data architecture blueprint, covering ingestion, storage, modeling, governance, and access. Develop and implement data governance, lineage, and quality frameworks that ensure scalability, compliance, and trust. Create and maintain enterprise data models (conceptual, logical, and physical) to support analytics, BI, and AI use cases. Collaborate with data teams to design high-performance ETL/ELT pipelines, Delta Live Tables, and streaming data processes. Optimize Databricks compute and storage performance, applying cost and performance best practices. Implement CI/CD standards for data pipelines and infrastructure-as-code to ensure consistent, automated deployments. Enable discoverability and access through effective metadata management and Unity Catalog. Partner with business and IT stakeholders to align data architecture decisions with firm-wide analytics and AI strategy. Evaluate emerging technologies in data platforms, AI integration, and cloud infrastructure to guide KSM’s data evolution. Requirements/Qualifications: 7+ years of experience in data architecture, data engineering, or enterprise data design. Proven experience designing Databricks or other modern lakehouse architectures Deep expertise in data modeling, ETL/ELT design, and governance frameworks Strong understanding of modern data architecture patterns, including medallion architecture, data mesh, and real-time streaming. Proficiency in SQL, Python, PySpark, and orchestration tools (e.g., Airflow, dbt, or similar). Experience implementing CI/CD and infrastructure-as-code for data platforms using Terraform Familiarity with Power BI or similar BI/analytics tools. Demonstrated ability to collaborate effectively across technical and business teams to deliver measurable results. Excellent communication and documentation skills with the ability to explain complex technical concepts clearly. Preferred Experience: Experience implementing Unity Catalog and Delta Sharing for governed data access. Exposure to machine learning and AI integration within data pipelines. Background in professional services or multi-entity organizations. Certifications in Databricks or Data Engineering. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, sex, sexual orientation, gender identity, disability, genetic information, national origin, race, religion, veteran status, or any other protected category. KSM only accepts resumes directly submitted by a candidate and referrals submitted by current KSM employees. Unsolicited resumes or candidate profiles sent by staffing agencies and fee-based referral services will not be considered outside of a signed KSM vendor contract. KSM will not pay a fee to recruiters or agencies that do not have a signed KSM vendor contract.

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior C# Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities - Design, build, and optimize high-performance systems in C# supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control - Improve reliability, performance, and safety across existing C# codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes - Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have - Native or fluent English speaker - Full-stack developer experience with a strong systems programming background - 5+ years of professional experience writing production C#. - Strong background in building streaming data pipelines using asynchronous streams and reactive programming concepts. - Experience optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion. - Clear written and verbal communication skills. - Ability to commit 20–40 hours per week. Preferred - Prior experience with data annotation , data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Application Process - Submit your resume - Complete a short technical screening - Project matching and onboarding $50 - $75 an hour

Description Apex Focus Group partners with research organizations, academic institutions, and brands seeking genuine consumer feedback. We connect individuals with flexible remote research opportunities that help shape products, services, and user experiences. Role Overview We’re inviting individuals from all backgrounds, including those searching for data entry clerk roles, to express interest in joining upcoming consumer research studies. These may include online interviews, product evaluations, or feedback sessions - most often conducted remotely. This is a casual, project-based role well suited for individuals looking to participate part-time in research based on availability and profile match. Requirements A smartphone, tablet, or computer with a working camera A stable internet connection Ability to follow written instructions and share thoughtful opinions A valid email address to receive study invitations Benefits Flexible participation - opt in only when studies match your profile Research formats vary and may include focus groups (remote online or in-person), video interviews, product evaluations, or digital feedback sessions No prior data entry clerk experience required - just a willingness to participate Some studies may offer early access to unreleased products or services Compensation is offered for many studies, depending on type If you're interested in being part of research that helps shape real-world decisions, and exploring flexible part-time, remote opportunities, we welcome you to register your interest online today. Important Notice – No Fees Required We never charge any fees to register or participate. Please remain cautious of any message requesting payment to take part in research.

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 1+ year of experience in statistics, operations research, or advanced mathematics Experience with R or Python Experience using scientific methods to inform qualitative and quantitative analyses Ability to work effectively in a collaborative and fast-paced environment TS/SCI clearance with a polygraph HS diploma or GED Nice If You Have: Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management Experience analyzing large-scale datasets Experience with data gathering, cleansing, and parsing Experience developing and applying optimization and simulation models Ability to work in Windows and Linux OS environments Bachelor's degree in Operations Research, Applied Mathematics, or Data Science Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About the Role The Data Acquisition Team is the entry point to WEX's Data-as-a-Service (DaaS) platform-responsible for ingesting, validating, and orchestrating raw data from dozens of internal systems and third-party providers. As a Software Engineer 2 - Data Acquisition (Data Engineer), you'll play a key role in designing and building robust, scalable, and extensible pipelines that feed the entire data ecosystem at WEX. You'll work across multiple data domains and ingestion patterns-batch, streaming, and event-driven-while ensuring quality, performance, and governance are embedded in every step. WEX is undergoing a data platform transformation-and this team builds the foundation. Every pipeline you create contributes directly to powering analytics, automation, and product intelligence across all business domains. If you're passionate about scaling data platforms from the ground up, this is your chance to help shape how WEX ingests and leverages its most valuable asset: data. What You'll Do Design and implement moderately complex ingestion pipelines that integrate with internal and external systems. Develop reusable components for data transformation, validation, and logging. Contribute to both batch and streaming ingestion flows, ensuring scalability and maintainability. Support platform observability by enhancing monitoring, alerting, and error-handling features. Participate in design discussions, code reviews, and incident investigations. Partner with data consumers to understand requirements and translate them into ingestion solutions. Improve automation and testing coverage to reduce manual effort and increase pipeline reliability. What You Bring B.Sc. in Computer Science, Engineering, or related technical field (M.Sc. preferred). Equivalent experience considered. 2-4 years of experience as a data or software engineer, ideally working with data pipelines or distributed systems. Solid programming skills in Python, Java, or Scala, with ability to write maintainable, production-ready code. Hands-on experience with ETL/ELT pipelines, schema management, and data modeling concepts. Familiarity with streaming (e.g., Kafka, Kinesis, Spark Streaming) or batch frameworks. Understanding of CI/CD, version control, and testing practices. Exposure to observability practices such as logging, metrics, and tracing. Strong sense of accountability and eagerness to take ownership of assigned deliverables. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $96,100.00 - $115,500.00

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is seeking a highly motivated Senior Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFi's Marketing organization through robust analytics, modeling, experimentation, and measurement. This exciting new role will focus on supporting the development and execution of top-tier marketing strategies specifically within the Direct Mail (DM) channel. The DM channel is a key driver of revenue and new account acquisition for SoFi, encompassing all lending products-including Personal Loans, Home Loans, Student Loan Refinance, In-school Loans, and Credit Cards-as well as Checking & Savings, Small Medium Business Loans, and future products. This position is ideal for someone passionate about utilizing data for problem-solving in a fast-paced environment. It requires direct interface with marketing managers, channel owners, and third-party partners to collaboratively identify opportunities for improvement and enhanced efficiency. What you'll do: Manage the end-to-end Direct Mail (DM) campaigns, including pre-screened (PS) and invitation-to-apply (ITA) across products. This encompasses identifying the underwriting, marketing and suppression rules, clearly defining the data source and logic, executing the code, validating the result and file ingestion, managing the approval process and tracking the campaign performance. Ensure a clear understanding of campaign schedules and deliverables. Diligently manage the status of each step, noting any dependencies, delays, or challenges. Escalate issues to business partners or upper management as necessary and propose actions for resolution. Serve as the primary liaison between the onshore and offshore teams. This includes communicating onshore needs to the offshore team and collaborating on campaign execution, validation, performance readouts and analysis. Partner with channel owners and marketing managers to develop strategies for optimizing and expanding target audiences, improving conversion rates, and maximizing return on investment (ROI). Support ad-hoc campaign execution or analytics requests outside of the BAU schedule, demonstrating flexibility to accommodate business needs, focusing on solutioning, and finding ways to optimize efficiency and cost. Work with Bureau and 3rd party partners to explore new data, models or ideas to drive business growth besides campaign execution. Proactively measure and analyze the effectiveness and ROI of marketing campaigns and strategies, providing data-driven recommendations and driving informed actions. Translate complex business objectives into actionable, data-driven tactics and campaigns that deliver immediate results and build a strong foundation for sustained growth. Convert complex data into clear, compelling narratives and concise presentations to inform and guide senior management decision-making. What you'll need: Bachelor's degree in Computer Science, Math, Physics, Engineering, or a quantitative field required; Master's degree preferred. 5+ years of relevant marketing experience in the financial services industry, with a focus on pre-screened/pre-approved campaigns. Proficiency in SQL, Python, and Tableau. Experience building data pipelines with Airflow, preferably in Snowflake. Demonstrated experience with experimentation and hypothesis testing. Knowledge of statistical modeling or machine learning is a plus. High intellectual curiosity and a quick learner of new technical skills. Ability to initiate and drive projects independently to completion, and ability to clearly communicate technical information to diverse audiences. Strong relationship-building and collaborative skills. Ability to thrive in a dynamic, cross-functional environment with keen attention to detail. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $128,000.00 - $240,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Position: IS Senior Specialist, Data Analytics and AI Department: Aptar Information Systems Location: Aptar worldwide Travel Expectations: Up to 25% Reports To: Director, IS Data & Analytics Primary Purpose Summary The IS Senior Specialist, Data Analytics and AI is the key contributor to our machine learning initiatives, will manage the full development lifecycle, including data preprocessing, feature engineering, model training, deployment, and monitoring. She/he is a Subject Matter Expert in ML and AI, obtained through advanced technical education & work experience, interprets internal or external issues, and recommends solutions and best practices. She/he will work with cross-functional teams to analyze large datasets, build predictive models, and optimize algorithm performance. This role offers the chance to work with advanced technologies and collaborate with talented professionals' team that value collaboration, continuous learning in a dynamic, innovative environment. This role requires expertise in ML and AI algorithms, programming, and data analysis, along with strong problem-solving and communication skills. In this position he/she will be directly reporting to the Director, IS Business Analytics. Job Responsibilities: The IS Senior Specialist, Data Analytics and AI plays a key role in the end-to-end design and implementation of Aptar Machine Learning and AI use cases, works closely with both Data & Analytics team and business to identify key areas of development for Machine Learning and generative AI solutions, and has strong end-to-end solution ownership, translating product requirements into user interfaces and backend distributed system design as well as own the implementation of these designs. She/he is a senior team member of the projects and the programs in the area of Artificial Intelligence and engages stakeholders based upon the needs of his domain Collaboration & Stakeholder Engagement She/he is independent & effective She/he solve problems with Data, ML and AI, and recommends solutions to complex problems guided by business objectives She/he influences Aptar expert stakeholders Work with data scientists, software engineers, and business stakeholders to define problems, requirements, and objectives. Collaborate with domain experts to gather insights for enhancing model relevance and performance. Communicate findings, results, and recommendations effectively to both technical and non-technical stakeholders. Participate in cross-functional discussions to identify business problems and opportunities for machine learning solutions. Data Preparation & Engineering Preprocess, clean, and normalize large datasets to ensure data quality. Conduct exploratory data analysis to understand patterns and distributions. Engineer and select relevant features to optimize model performance. Develop and maintain scalable data pipelines for ingestion, transformation, and feature engineering. Model Development & Optimization Select, implement, and fine-tune appropriate machine learning algorithms or Gen AI models. Train models, adjust hyperparameters, and optimize algorithms for performance. •Apply advanced techniques such as transfer learning, ensemble learning, and data augmentation. Optimize models for resource-constrained environments (e.g., edge or IoT devices). Model Evaluation & Validation Evaluate models using appropriate metrics and validate against test datasets. Conduct experiments (e.g., A/B testing) to assess model impact on business metrics. Benchmark different algorithms to select the most suitable approach. Deployment & Monitoring Collaborate with software engineers and DevOps teams to deploy machine learning models. Develop monitoring systems to track performance, detect anomalies, and implement updates. Ensure scalability, reliability, and performance in production environments. Research & Continuous Learning Stay updated with advancements in machine learning, AI frameworks, and tools. Explore new methodologies, algorithms, and frameworks to improve workflows. Participate in professional development activities, such as conferences and workshops. Compliance & Ethics Ensure compliance with data privacy and security regulations when handling sensitive data. Implement techniques for model fairness, explainability, and interpretability. •Collaborate with data governance teams to adhere to ethical guidelines and regulatory requirements. Documentation & Best Practices Document machine learning models, processes, and workflows to ensure reproducibility. Maintain version control for tracking changes in code and experiments. Contribute to developing and maintaining reusable components and frameworks. Mentorship & Knowledge Sharing Mentor junior team members and provide technical guidance. Share knowledge through blog posts, open-source projects, and community contributions. Participate in knowledge-sharing sessions within the organization. Cross-functional Collaboration & Integration Work with data engineers to optimize data infrastructure and pipelines. Collaborate with business stakeholders to integrate machine learning into existing systems. Contribute to building company-wide machine learning infrastructure. Required Skills and Qualifications Programming Skills Proficiency in programming languages: Python, Spark, R, Java, SQL. Experience with implementing machine learning algorithms and models. Familiarity with version control systems (e.g., Azure DevOps). Machine Learning Algorithms and Frameworks Supervised, unsupervised, and reinforcement learning. Machine learning libraries: TensorFlow, PyTorch, scikit-learn, Keras. Neural networks, CNNs, RNNs, GANs. AutoML tools. Reinforcement learning frameworks like OpenAI Gym. Mathematical and Statistical Expertise Strong foundation in linear algebra, calculus, probability, and statistics. Familiarity with Bayesian statistics and probabilistic graphical models. Data Handling and Analysis Data manipulation libraries: pandas, NumPy, SQL. Data preprocessing, feature engineering, and exploratory data analysis. Knowledge of handling structured and unstructured data (e.g., text, images, audio, video). Big Data and Distributed Systems Experience with big data technologies: Apache Spark, distributed computing frameworks (like Databricks, Dataiku….) Understanding cloud-based services for data storage (e.g., Azure ADLS, Amazon S3, Google Cloud Storage). Natural Language Processing (NLP) Sentiment analysis, named entity recognition, text summarization. Knowledge of frameworks for NLP and text analysis. Optimization and Model Performance Hyperparameter tuning techniques (e.g., Bayesian optimization). Feature selection and dimensionality reduction. Knowledge of anomaly detection algorithms. Model Deployment and Monitoring Expertise in deploying models using: RESTful APIs, microservices architecture. Containerization tools (e.g., Docker, Kubernetes). Skills in model monitoring and drift detection. Understanding of model interpretability techniques (e.g., SHAP, feature importance). Software Engineering Best Practices Software testing methodologies. Agile and Scrum project management methodologies. Visualization and Communication Matplotlib, Plotly, Power BI. Effective communication skills for both technical and non-technical audiences. Specialized Techniques Graph analytics and neural networks. Time series analysis and forecasting (e.g., ARIMA, LSTM, Prophet). Knowledge of federated learning and differential privacy. Additional Skills Passion for continuous learning and staying updated with advancements. Awareness of ethical considerations and data privacy in machine learning. Ability to work collaboratively in cross-functional teams. Education Bachelor's Degree (Fundamentals) Core areas: Programming, algorithms, data structures, and computer systems. Mathematics: Linear algebra, calculus, probability, and statistics. Experience 5+ years of experience with Proven experience of leading AI/ML initiatives and driving Innovations.

Data Entry/Warehouse Associate The Assurance Group Thomasville, NC About The Assurance Group Founded in 1988 is one of the top insurance marketing organizations in the nation. Our vision to build a dynamic national brand recognized for providing high-value insurance and financial products and services to our agents and their clients. To continually exceed every expectation by engaging the talent and passion of people who believe there is always a better way. To offer long-term, financially rewarding opportunities to our agents, field managers and employees. The Assurance Group is a proud member of the Integrity Family of Companies. Job Summary: The Data Entry Machine Operator/Warehouse Associate assists the supervisor, performing both data entry and warehouse tasks, requiring accuracy, attention to detail, and the ability to operate machinery. They input data into systems, verify information, and handle warehouse logistics like receiving, storing, and shipping materials. Primary Responsibilities: Provide support and value to a variety of functional areas by: Scanning and entering data for any mail received daily. Preparing materials to be shipped each day Scheduling pickups and deliveries of supplies for office and warehouse Operating mailing equipment, (Printers, Inserters, Folders) Coordinating and prioritizing work to support the needs of warehouse employees. Various other duties, projects as assigned. Primary Skills & Requirements: Knowledge of Word, and Excel Excellent verbal and written communication skills, including great phone presence. Organized and detailed, yet flexible Ability to maintain confidentiality. Proven customer service background and the ability to work with a wide range of people and personalities. Ability to prioritize and manage workflow with frequent interruptions (time management) Must enjoy being challenged with a variety of activities and responsibilities. Flexible in adapting to changing environments Possess an upbeat, positive, and enthusiastic attitude. Confident, self-starter who works well independently. Effective communication skills, both oral and written. Benefits Available Medical/Dental/Vision Insurance 401(k) Retirement Plan Paid Holidays PTO Community Service PTO FSA/HSA Life Insurance Short-Term and Long-Term Disability About Integrity Integrity is one of the nation's leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike. Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead. Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at company you'll love, and we'll love you back. We're proud of the work we do and the culture we've built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind. Headquartered in Dallas, Texas, Integrity is committed to meeting Americans wherever they are - in person, over the phone or online. Integrity's employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit Integrity.com. Integrity, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities.

As a member of the Information Services department, the Lead Analyst, Digital Data Governance & Compliance will drive and support our firm-wide electronic governance initiatives. This key role will focus on ensuring integrity, security, accessibility, and compliance of data assets across the organization. The Lead Analyst will serve as a subject matter expert in data mapping, eDiscovery, Litigation Hold, internal data collections, and regulatory compliance - acting as both a strategic and tactical partner to business units, legal, compliance, and IT teams. ESSENTIAL FUNCTIONS: Data Governance Work closely with the Senior Manager, Digital Data Governance & Compliance to lead the strategy, implementation and management of comprehensive electronic data governance frameworks, standards, and policies. Develop and execute data lifecycle management processes for unstructured and structured digital content. Litigation Hold & Internal Data Collections Develop and execute Litigation Hold process, ensuring data relevant to ongoing or anticipated litigation is properly identified, preserved, and tracked throughout Litigation Hold lifecycle. Lead internal data collections in response to audits, investigations or internal reviews, ensuring completeness, chain of custody, and evidentiary standards are met. Data Mapping & Discovery Lead process for maintaining enterprise data map, ensuring all data assets, flows, and repositories are documented, regularly reviewed, and updated for accuracy. Partner with IT, legal, privacy, and business units to identify, classify, and document digital data assets across systems and platforms. Cross-functional Collaboration Collaborate with cross-functional teams (Legal, Compliance, Information Security, IT, Business Units) to identify risks, close control gaps, and support continuous improvement of data governance practices. Prepare and deliver training, guidance, and communications to staff regarding electronic data governance, best practices, and compliance obligations. Work with the Office of the General Counsel to support internal and external audits and investigations. Technology Strategy & Tools Evaluate and implement digital tools for litigation hold, data mapping, governance, and eDiscovery processes. Recommend solutions that improve efficiency, defensibility, and transparency of digital data operations. ADDITIONAL FUNCTIONS: Available to provide support after normal business hours, if required. Additional duties as assigned. QUALIFICATIONS (EXPERIENCE, KNOWLEDGE, SKILLS, AND ABILITIES): Education: Bachelor's degree in Information Management, Computer Science, Business Administration, or a related field. A combination of education and experience will be considered in lieu of a degree. Experience: 7+ years of experience in digital data governance, compliance, data mapping, litigation hold or eDiscovery roles. Knowledge, Skills, & Abilities: Demonstrated experience with data governance programs, particularly in regulated and/or law firm environments. Working knowledge of SQL, PowerShell, and Power BI technologies. Strong understanding of litigation hold and internal investigation protocols. Familiarity with data governance and data management platforms such as Microsoft Purview, Relativity, or similar platforms. Strategic thinker with strong analytical and critical thinking skills. Excellent written and verbal communication skills. High integrity and sound judgment with sensitive information. WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in a clerical, office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. PHYSICAL REQUIREMENTS Sedentary work: Exertion of physical strength to lift, carry, push, pull, or otherwise move objects up to 10 pounds. Work involves sitting most of the time. Walking and standing is often necessary in carrying out job duties. VISUAL ACUITY Worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. COMPENSATION & BENEFITS The salary ranges for this position apply to the respective listed locations. The salary range reflects a variety of factors that are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the range for a position. Reasonable estimates of the current ranges for this position are: Las Vegas & Minneapolis: $90,000 to $110,000 Chicago & Atlantic City: $105,000 to $120,000 Denver, Los Angeles, Morristown, Princeton, Washington, DC & Seattle: $115,000 to $126,000 New York & San Francisco: $126,000 to $132,000 For information on Fox Rothschild's compensation and benefits visit: Compensation & Benefits (foxrothschild.com) DISCLAIMER Fox Rothschild LLP is under no obligation to provide sponsorship for this position. Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. The above is intended to describe the general content of and requirements for the performance of this job. It is not a contract or employment agreement and is not to be construed as an exhaustive statement of all functions, responsibilities, or requirements the employee may be required to perform, and the employee may be required to perform additional duties. Additionally, management reserves the right to review and revise the job description at any time. Employment with the firm is at-will. Employees must be able to satisfactorily perform all of the essential functions of the position with or without a reasonable accommodation. If an accommodation request would cause an undue hardship or a safety concern, the individual may not be eligible for the position.

Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 5+ years of experience using data science programming languages, such as Python or R Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket Knowledge of statistical analysis, predictive modeling, and machine learning methods Ability to design and develop automated analytic software, techniques, and algorithms Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products Ability to generate data visualizations with tools, such as Kibana, Tableau, or Power BI TS/SCI clearance Bachelor's degree and 5+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree Nice If You Have: Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines Experience with intelligence or operations analysis in the DoD or Intelligence Community Experience developing and implementing ontological frameworks Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL Experience working with deep learning and AI frameworks, including PyTorch, TensorFlow, and Keras Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM) Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Knowledge of DevOps, including CI/CD pipelines and Jenkins TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Veeva Network (MDM Platform) and Veeva OpenData (Veeva's Customer Master Reference Data offering for Health Care Professionals and Organizations) combine together to form the industry's first complete, cloud-based master data management and customer master data solution which integrates healthcare professional, healthcare organization, affiliations and reference data from multiple sources to give our customer a single view of their customer data. In addition, Network enables customers to steward data from the Product Domain, for both Commercial and R&D purposes. As a Senior Consultant for Veeva Systems, you will participate and lead in business process due diligence, design, creation and documentation of end user requirements of new and/or existing customer application implementation projects working with pharmaceutical and medical devices organizations. The selected candidate will assist in the on-time, high quality delivery of Veeva Systems solution implementations. The ability to travel domestically and abroad is required. What You'll Do This position is 20% project management, 50% analysis, 30% technical (drawing on technical and/or product knowledge in advanced configurations of the Veeva applications) Must have a proven track record meeting with senior management and executives as the subject matter expert Must be able to take complex client and vendor concepts and articulate them to audiences of varying perception levels Dedicated to going above and beyond to ensure customer success Develop subject matter expertise on the Life Sciences industry and the Veeva solutions Provide direction to junior resources and support recruitment efforts Grow the capabilities of the team, develop best practices and accelerators Requirements 5+ demonstrated years of consulting experience Bachelor's Degree or equivalent work experience required Strong presentation skills and experience are essential Able to travel approximately 20-30% Proven track record of leading systems implementation projects for life sciences as a project manager Product Experience: Should have 3+ years of hands on experience with Veeva Network or another major MDM application Broad knowledge of current technology, tools, and techniques for data and system integration (Web Services, ETL, SQL, Force.com APIs, FTP, Batch CSV integrations) Applicants must have the unrestricted right to work in the United States. Veeva will not provide sponsorship at this time Nice to Have Experience working with a pharma or medical devices company is a plus Additional experience with Veeva Vault, Salesforce.com, 3rd Party Customer Master Data (e.g. Veeva OpenData, IMS OneKey), Integration Platforms (e.g. Informatica) Perks & Benefits Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Compensation Base pay: $80,000 - $200,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com. Work Where It's Best for You Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for each person. This applies across all locations and departments. Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We're investing more in offices, culture, and offsite meetings, not less. Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that. Work at Veeva. Work where it's best for you. A different kind of company. A Public Benefit Corporation. Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. × What sets us apart Public Benefit Corporation Work Anywhere Veeva Giving Corporate Citizenship Employees are Shareholders Non-Competes Public Benefit Corporation In February 2021, Veeva became the first public company to convert to a Public Benefit Corporation (PBC). Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. Veeva's public benefit purpose is to help make the industries we serve more productive and create high-quality employment opportunities. Learn More Work Anywhere Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for you. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Product teams are organized in regional product excellence hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. Read More → Veeva Giving At Veeva, we believe in giving back. Veeva's support for charitable causes is entirely employee driven because we think giving is personal and should be directed by the individual. With our 1% Veeva Giving program, each employee receives an amount equivalent to 1% of their base salary annually to support the non-profit(s) of their choice. We don't dictate favored corporate causes or ask employees to donate to specific non-profits. We never support a charitable cause in exchange for commercial advantage or preferential treatment. Corporate Citizenship Veeva's core values - do the right thing, customer success, employee success, and speed - guide our decision making and define our culture. Doing the right thing means that we are concerned about more than just financial success and return to shareholders. We recognize a responsibility to customers, employees, environment, and society.As individuals, we pride ourselves on being good people who are honest, fair, and direct. We treat others with respect. As a company, we strive to be a good corporate citizen, a positive force in the business community, active in our communities, and an example to others. Read More → Employees are Shareholders Our equity program is designed to enable the vast majority of our employees to participate. Our unique approach to awarding equity grants allows our employees to be shareholders so they can benefit financially in the company's growth. Non-Competes Veeva has taken a strong stance against the use of non-compete agreements that can limit employee opportunities. We do not require our employees to sign non-compete agreements, and we have taken legal action to fight the unfair use of these agreements by other companies because we believe such agreements limit an employee's fundamental right to work where they choose. We believe in our people and want them to be successful here at Veeva or wherever their careers take them. Read More → News and recognition Veeva in Top 100 Most Reliable Companies Fastest-Growing Company for 5 Years, Future 50 for 2 Years New York's Noncompete Bill Is A 'Big Domino To Fall'-And The Broadest Ban Yet-In A Growing Movement Against Them Veeva's Peter Gassner Combine's Today's Execution with Tomorrow's Vision Grow, contribute and be recognized "Veeva's engineering teams take a pragmatic approach to software development. We offer an ideal environment for engineers who value focus, speed and integrity in their work." Jacob Marcus VP, Engineering "I appreciate that Veeva values autonomy over alignment. As a result, we get to make decisions as a small team and ship products faster." Shilpa Chandermohan Software Engineer "As a software engineer at Veeva, I'm proud to be doing meaningful work building clinical trial software that will benefit so many people." Durward Denham Software Engineer Previous Next Other related jobs Senior Consultant Professional Services Sydney, Asia Pacific Posted 1 days ago Contract Operations Specialist Professional Services Budapest, Europe Posted 3 days ago Implementation Consultant- Pharmacovigilance / Safety Systems (Remote) Professional Services Dublin, Europe Posted 5 days ago Implementation Consultant- Pharmacovigilance / Safety Systems (Remote) Professional Services Copenhagen, Europe Posted 5 days ago Consultant- Integration Professional Services Raleigh, United States Posted 17 days ago Consultant- Integration Professional Services Madison, United States Posted 17 days ago Explore all roles at Veeva Search Jobs

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking a forward-thinking Senior Consultant to lead initiatives in Agentic AI, Generative AI, and advanced Data Science. This role will drive innovation in healthcare analytics and enterprise AI solutions, leveraging cutting-edge technologies to transform data into actionable intelligence. The ideal candidate will replace a technical leader who pioneered AI-driven workflows and generative modeling within our organization. Design and implement Agentic AI systems for autonomous decision-making and workflow optimization. Develop Generative AI applications for summarization, predictive modeling, and conversational interfaces. Build and maintain scalable data pipelines integrating structured and unstructured data. Apply advanced statistical and machine learning techniques to policy evaluation. Lead AI-driven projects in retrieval-augmented generation (RAG), prompt engineering, and knowledge graph integration. Collaborate with cross-functional teams to deliver AI-powered dashboards and insights. Mentor junior staff in AI methodologies and data science best practices. What You Will Need: US Citizenship is required Master's degree is required Minimum FIVE (5) years of experience in AI and data analytics, including healthcare or enterprise data. Expertise in Python, R, and frameworks for AI/ML (e.g., TensorFlow, PyTorch). Hands-on experience with Generative AI models (LLMs, diffusion models) and Agentic AI architectures. Strong understanding of SQL and cloud-based data platforms. Ability to translate complex AI concepts into business solutions. Experience with RAG pipelines, vector databases, and knowledge graphs. What Would Be Nice To Have: Familiarity with AI governance, ethical AI practices, and compliance. Proficiency in visualization tools and interactive dashboards. Agile project management and sprint-based delivery. Prior experience in technology consulting #LI-DNI The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients' AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification & Skill Set Requirements Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer). Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform Expertise (Specialization-Specific) Candidates should demonstrate deep expertise in anyone of the following: Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics. AWS: Redshift, S3, Lake Formation, Glue, and Lambda. Professional Practices SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks. Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards. Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers. Responsibilities Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing. Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks. Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices. Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: Direct Company Sponsorship: Such as H-1B, J-1, or TN visas. Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

Mantis Innovation provides managed facility services and turnkey program management with technology-enabled solutions that target the entire building footprint. We look at the entire facility-inside and out-and can impact 70% of what a building operator allocates critical budget dollars toward, including: Strategic electricity and natural gas procurement, renewable energy, and demand response; climate impact reduction and reporting, net zero strategies, and sustainability planning; roofing, solar, HVAC assessment management, pavement, building envelope, data center optimization, and EV charging; lighting/LED retrofits, HVAC/mechanical systems, and BMS/BAS improvements and implementation. General Purpose: The BMS Technical Solution Sales Executive will drive client growth for our data center facility solutions, specifically related to building automation systems. This role involves identifying and developing building management system (BMS) strategies that improve operational efficiency, sustainability, and energy performance. We are looking for candidates who know about data center facility configurations, not data racking configurations* You will work closely with controls engineers, sales engineers, project managers, and client stakeholders to audit current systems, develop control strategies, build solution proposals, and close project opportunities. This position requires a consultative sales approach focused on understanding building infrastructure challenges and applying best-fit BMS building technologies. Travel is required for on-site evaluations and client engagement. Here's what you'll do: Quickly evaluate existing systems in data centers and commercial/industrial facilities (BMS/controls, electrical, lighting, HVAC, mechanical,) and propose tailored BMS solutions that optimize performance, energy usage, cost of construction, occupant comfort, and probable utility incentive benefits. Conduct site audits and assessments to understand facility needs and identify solution opportunities. Create and revise solution scopes to meet ROI, payback, and performance targets. Present solution strategies and value-based proposals to decision-makers, facility managers, and engineers. Lead and manage the full sales cycle to achieve annual quota from building and managing pipeline to developing opportunities through deal closure, including contract negotiations. Create and maintain a territory-specific sales plan with defined targets and growth strategies. Utilize business and financial knowledge to develop compelling value propositions that align with client goals. Coordinate internal stakeholders in crafting customized deal structures and solution positioning. Qualify inbound and outbound opportunities and manage demand generation efforts. Engage in high-level executive conversations to understand business priorities, financial drivers, and strategic objectives. Navigate complex accounts with multiple sites, global footprints, or high operational complexity. Share best practices across the sales organization and support coaching of fellow sales executives. Collaborate with utility providers and internal teams to qualify projects for available energy incentives and rebates. Drive favorable solution specifications and influence smart building standards with consultants and design engineers. Coordinate with solution engineers and project delivery teams to ensure project feasibility, profitability, and execution success. Develop and maintain strong relationships with key stakeholders including end users, contractors, and engineering firms. Travel for client-facing meetings, site visits, and presentations (estimated 40-50%). Qualifications: 5+ years of complex solution selling experience in building automation, energy efficiency, and critical facility/data center environments. Demonstrated success in developing and closing BMS, automation, or facility performance projects of $5M or more. Experience working with engineers, contractors, and utility incentive programs. Knowledge and experience with OEM building control platforms, automation architecture, and integration strategies. Proficiency with Microsoft Office Suite, Salesforce (or comparable CRM tools) preferred. Skills of the job: Strong knowledge of mechanical and electrical systems, building controls, and integration platforms. Strong consultative selling and client relationship management skills. Ability to translate technical information into compelling business value propositions. Detail-oriented with strong organizational and time-management skills. Confident, coachable, and proactive with a growth mindset. Excellent verbal and written communication skills. Passion for continuous learning and innovation in smart building technologies. $125,000 - $375,000 a year The above salary mentioned is OTE (On-Target Earnings): base salary PLUS commission Note: Employees are held accountable for all duties of this job. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the position. What else can we offer you? We offer a fantastic lineup of benefits, including Medical, Dental, Vision, FSA, HSA, 401k Matching, Paid Vacation, Paid Sick, Paid Holidays, Paid Parental Leave, Paid Short Term & Long Term Disability, Tuition Reimbursement, and a flexible hybrid work schedule (for office-based employees). Working at Mantis also brings tremendous professional development opportunities that allow you to make a real impact on both the company and your career! Not sure you meet every single requirement? Studies show that women and individuals from underrepresented groups often hesitate to apply unless they check every box. At Mantis, we're committed to building an inclusive and equitable team-so if this role excites you, we'd love to hear from you, even if your experience doesn't match every single qualification. Mantis Innovation is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Hi there! We're WebFX, a full-service digital marketing agency based in the US. We've been 10x named the Best Place To Work in Pennsylvania, and we'd love to meet you! We are a fast-growing company that has doubled in size over the past 5 years, with talented team members now based around the globe (and representing 18+ different countries!). While we are growing at a rapid rate, we are committed to growing strategically and sustainably, and that starts with growing our team of the #BestCoworkers - that's where you come in! We're looking for people to join our mission to provide world-class digital marketing solutions to mid-size businesses around the world. We are passionate about what we do, we're committed to driving business growth for our clients, and we're on the hunt for people just like you, who take pride in their work and want to be part of a company that does too. You Might Be a Great Fit For This Position if You Have… A Bachelor's Degree Successful FXers in this role have majored in Marketing, Advertising, Business, Journalism, Communications, Information Systems, Statistics, and beyond GPA above 3.4 A Few Related Skills and Experiences (This is an entry-level role, and experience in every one of these areas is not required - we will train you on what you need to know! But the following skills/experience are awesome to have, and will help get your career off to a running start): Part-time/summer job/internship experience is a must Customer service experience in any industry Advertising/marketing agency experience Digital marketing experience Basic HTML experience Google Analytics and/or analytical/research skills Excel/Google Docs skills Copywriting for the web Presentation skills Any of these Signature FXer Traits! You have an interest in the web and stay up-to-date on new and developing technologies You are a professional, dependable, and independent worker with a strong work ethic You're self-motivated, thrive on challenges, and enjoy getting things done You have an eye for detail and dedication to high-quality work You have an exceptional level of follow-through You are a proactive, creative problem-solver who faces challenges with a can-do mindset You possess excellent time/project management skills You have solid analytical skills and a knack for making data-driven decisions You work with a sense of urgency and can consistently meet deadlines You are an outstanding communicator and possess strong interpersonal skills You are a lifelong learner who loves to grow and stretch outside of your comfort zone, and are always looking to improve your skills If any of these sound like you, then we want to hear from you! We are committed to growing 1% better everyday, and we believe working at WebFX could quite possibly make your life 1(00)% better - after all, you would be surrounded by the #BestCoworkersinPA! In This Role, You'll Get To… Work directly with a portfolio of clients as their direct point of contact at WebFX, educating them through clear communication, and helping them achieve their goals Work to maintain our world-class client retention rate by developing and fostering long-lasting client relationships Analyze performance data (in Google Analytics and RevenueCloudFX) and prepare monthly digital marketing campaign reports Develop appropriate SEO strategies and action plans/optimizations based on data Create and manage PPC (think Google Ads!) campaigns and work to ensure a positive ROI for clients Perform research to ensure client success - think keyword research, competitor analysis, and everything in between Devise the content strategy and outlines for our team of copywriters and manage the execution of web content based on client goals Manage the ideation, planning, and execution efforts of CRO special projects and champion CRO best practices for clients Perform A/B, website usability, and website conversion rate testing to determine what works best for your client and provide recommendations accordingly Interpret web analytics, demographic data, market research, and buyer behaviors, and generate and execute strategies as they relate to findings 'Get your hands dirty' and get into the backend of client websites to correct errors and technical issues and implement content A Typical 'Day in the Life' Might Consist of: 5% analyzing clients' competitors and making appropriate recommendations 5% creating reports for client campaigns 10% working in the backend of websites/fixing technical issues/implementing content 15% analyzing data and identifying deliverables 25% executing on SEO and PPC strategies with regular optimization 40% communicating with clients 100% pursuing your own personal best while delivering real-world impact for our clients! Note: The Jr. Business Data Analyst is a client-facing position What You'll Get From Us! Opportunities to Learn and Train With Our Team! Our "Bootcamp" training program will be provided for new FXers to learn, grow and develop both in and out of the office in the specific hard skills necessary to be successful in their position World-class on-the-job training from the experts (think Sr. Marketers, not the HR team) as well as opportunities for ongoing personal learning and development On-site, state-of-the-art training amenities to facilitate departmental trainings, industry-related updates, and monthly Lunch-and-Learns. A Place to Grow Your Career WebFX grew 250%+ over the past 3 years, and we promote almost exclusively internally. Merit-based promotional opportunities are abundant for new FXers who meet or exceed position performance metrics. In-Person Experience Alongside Our Team of Industry Experts This position is based fully in-office at our riverside campus in Harrisburg, PA, with opportunities for this to evolve as Fxers advance in their career tenure. Potential promotional path for Jr. Business Data Analyst: Digital Marketing Specialist Digital Marketing Analyst Digital Marketing Consultant Lead Internet Marketing Consultant Sr. Internet Marketing Consultant Compensation $47,000 -$50,000 (potentially higher based on work experience) Why Choose WebFX? We've been named the Best Place To Work in Pennsylvania 10 times We have offices in Guatemala, South Africa, St. Petersburg FL, Ft. Myers FL, Lancaster, and York, PA! AND we're continuing to grow! Entry-level roles - over 90% of our openings are open to brand new college grads! Flexible Schedule (start your day between 8 and 10 am - when you do your best work!) Love animals? Cool, so do we! That's why we have a Pet Friendly Office Profit Sharing Need that caffeine fix? On-site cappuccino machine, Little Amps Coffee Bar (with a barista!) & Tea Bar Looking for a little extra workday fuel? Enjoy surprise catered breakfasts, lunches, mid-day snacks, and more! On-site Yoga sessions On-site Fitness Center ️️ 150% Company Match Of Personal Charity Donations Our #FXBuilds program is set to positively impact 10,000 people around the world by 2024 - and every individual FXer's work directly contributes! Supplemental Insurance 100% Company Match 401K (up to 4%) Generous Paid Time Off Employee Wellness Program, including a free FitBit and fitness challenges Love to learn? You sound like an FXer! FXLearns Library with hundreds of personal and professional growth books with incentive program to boot Humanitarian Trips ️ Health/Vision/Dental Coverage New Parent Support Dressing up everyday not for you? We get it! Enjoy our Casual Dress Code Home Buyer Program Personal Desk Fund Green Commute Benefits Pawternity Leave Merit-based promotions (we promote from within, you will move up and grow here!) The opportunity to be part of a passionate, driven team where we pride ourselves on delivering high-quality work that makes a real-world impact for our clients Check out our culture on social media: Instagram Twitter Facebook You don't need to apply more than once even if you're interested in multiple positions - you can simply let us know! We consider all open roles when reviewing resumes and applications! We have a multi-step interview process, where we focus on giving both our candidates, and ourselves, opportunities to get to know each other a bit better. While our process may be more thorough and perhaps longer than other interview processes that you've been a part of, our goal is to work together with our candidates to find a mutually beneficial fit, where a candidate is a great addition to the FXFamily, and WebFX is the right fit for their career goals. Interested in joining the FXFamily? You should definitely apply now! WebFX is an Equal Opportunity Employer, committed to providing and fostering an inclusive environment where all people, including women, minorities, LGBTQ+ and other underrepresented groups are supported, respected, and encouraged to excel within STEM careers. Our goal as an organization is to empower our team to achieve their personal best, bring people together, and provide equal opportunity to do so regardless of race, age, gender, sexual orientation, religion, physical ability or disability, or political affiliation. You can learn more on our website here! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO As our customer base continues to grow with the excitement around BrazeAI, we're expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will: Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms Contribute to shaping OfferFit's product strategy and roadmap through customer-facing insights and technical expertise Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success WHO YOU ARE Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master's or PhD in a relevant technical discipline preferred Experience: 3-5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $145,800 - $217,8000/year with an expected On Target Earnings (OTE) between $162,000 - $242,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging. Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work, among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you. Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.