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

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is looking for a highly analytical and data-driven Senior Product Analyst with statistical skills and a passion for data to drive improvements in technology. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve our user experience through rigorous testing. You will delve deeply into product data, design and analyze experiments, and provide actionable insights that directly impact our product roadmap. Responsibilities: Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement. Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis and other experiments. Define clear hypotheses, target segments, and success metrics. Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights. KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms. Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders. Collaboration: Work closely with product managers, engineers, designers, and machine learning scientists to implement and iterate on experiment findings and product improvements. Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership. Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation. Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices. Qualifications: Bachelors Degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline 6-8 years of relevant experience. Strong proficiency in data analysis, statistical modeling, and data visualization. Proven experience in designing, implementing, and analyzing A/B tests and other experiments. Solid understanding of statistical significance and hypothesis testing. SQL is a must. Python is nice to have. Any experience with Looker is also desirable. Knowledge of data science concepts and methodologies. Excellent communication and presentation skills, with the ability to explain complex data insights. Strong analytical and problem-solving skills. Experience working in a product-driven environment. Attention to detail and a commitment to data accuracy. The estimated base salary range for new hires into this role is $140,000 - 182,000 annually + commission depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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 The Borrow Data Science team is seeking a Senior Manager who will help support growth in our Lending businesses by improving SoFi’s ability to execute with data. This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact. You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards. You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them. What you’ll do: Manage a team of Data Scientists supporting SoFi’s Personal Loans, Student Loans, and Home Loans businesses Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives Set high standards for quality and on-time delivery. Recruit, grow, and retain top talent Ensure that the team is operating in an agile and efficient manner Stay up-to-date on the latest AI/ML technologies Identify high impact business opportunities to help members achieve their financial goals Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation. Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions What you’ll need: Bachelor’s Degree in a technical field 7+ years of Data Science or Software Engineering experience 3+ years management experience Experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company Experience with using Airflow and DBT to build Data Pipelines in Snowflake Strong programming skills in SQL and Python Experience with building data visualizations with Tableau, Looker or other BI tools Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics. Ability to work in a dynamic, cross-functional environment, with a strong attention to detail; Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders; Strong relationship building and collaborative skills; Exceptional problem-solving 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! 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.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is searching for brilliant and ambitious Data Scientist Interns to join our Summer 2026 cohort. This isn't just about running models; you'll be on the front lines, working with iconic global brands on their digital transformation. You will tackle massive, complex datasets to build the next generation of enterprise AI applications that deliver real-world results. As a Data Science Intern, you are a problem-solver and a strategist. You will dive deep into customer challenges, partnering with our expert data scientists, software engineers, and industry specialists. Your mission will be to design and deploy sophisticated machine learning algorithms—from predictive maintenance to fraud detection—at an enterprise scale using our revolutionary C3 AI Suite. You won't just analyze data; you'll turn it into intelligence that drives critical business decisions. Responsibilities: Drive adoption of Deep Learning systems into the next generation of C3 AI products Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements Qualifications: Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning) Experience with prototyping languages such as Python and R Strong mathematical background (linear algebra, calculus, probability, and statistics) Experience with scalable ML (MapReduce, streaming) Ability to drive a project and work both independently and in a team Smart, motivated, can-do attitude, and seeks to make a difference Proficient in spoken and written English Preferred Qualifications: Experience with JavaScript and Java Experience with time series and dynamical system A portfolio of projects (GitHub, papers, etc.) C3 AI provides excellent benefits and a competitive compensation package, which include: Salary range: $6,000 - $8,000 USD per month. At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, Friday social hours with food, drinks, music, and plenty of opportunities to connect and network with your team. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

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

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description About BioLife Plasma Services BioLife Plasma Services, a subsidiary of Takeda Pharmaceutical Company Limited, is an industry leader in the collection of high-quality plasma, which is processed into life-saving plasma-based therapies. Some diseases can only be treated with medicines made with plasma. Since plasma can’t be made synthetically, many people rely on plasma donors to live healthier, happier lives. BioLife operates 250+ state-of-the-art plasma donation centers across the United States. Our employees are dedicated to enhancing the quality of life for patients and ensuring that the donation process is safe, straightforward, and rewarding for donors who wish to make a positive impact. When you work at BioLife, you’ll feel good knowing that what we do helps improve the lives of patients with rare diseases. While you focus on our donors, we’ll support you. We offer a purpose you can believe in, a team you can count on, opportunities for career growth, and a comprehensive benefits program, all in a fast-paced, friendly environment. This position is currently classified as “hybrid” in accordance with Takeda’s Hybrid and Remote Work policy. BioLife Plasma Services is a subsidiary of Takeda Pharmaceutical Company Ltd. OBJECTIVES/PURPOSE The Sr. Manager of Marketing Science drives and executes strategic initiatives that improve our marketing data and analytics capabilities. This role will leverage advanced analytics techniques and data-driven insights to inform marketing strategies, optimize campaigns, and drive business growth. This role requires a deep understanding of paid, owned, and earned media measurement, strong analytics and insights skills, broad knowledge of marketing technologies, and the ability to communicate complex data insights to senior stakeholders. This role is critically important for the success of the Global Forecasting, Pricing, and Analytics (FPA) team and reports to the Head of Analytics within the team. ACCOUNTABILITIES Leadership Lead marketing science initiatives in the development and execution of advanced analytics to support marketing strategies and goals. Provide thought leadership on marketing measurement techniques, including the trade-offs between controlled experiments, natural experiments, and multivariate statistical models for different situations. Marketing Science Partner with our media agency to ensure we are maximizing the output of our media mix model (MMM) partner. Deep understanding and experience with creating and managing marketing attribution solutions, i.e., multi-touch attribution (MTA). Ability to build/maintain in-house solutions and/or work with outside partners as necessary. Identify and maintain marketing analytics key performance indicators (KPIs) to track and measure performance. Partner with data scientists, IT, and consultants to develop advanced analytical models and dashboards related to marketing. Ability to perform statistical analyses and tests to quantify the business value of an opportunity. Familiarity with AI/ML applications in marketing. Reporting and Data Management Ensure the accurate and timely delivery of marketing performance reports and insights. Able to translate data into contextualized insights that can be shared across the business Know digital media terminology and concepts (e.g., Demand Side Platforms (DSPs), effectiveness vs. efficiency, SEO/SEM, etc.) Leverage existing experience with Google Analytics and Google Tag Manager Partner with the Data, Digital, and Technology (DD&T) Team to ensure marketing data accuracy, integration, and integrity, and that good data governance practices are in place. Develop solutions (dashboards, data visualizations, reports) for real-time operations performance assessment and agile decision-making. Design and automate regular data extracts needed by marketing and other partners. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient alignment, coordination, and information sharing across teams. DIMENSIONS AND ASPECTS Technical/Functional Expertise Extensive experience across many areas of marketing science; MMM, MTA, Loyalty, Website, Surveys, Paid/Owned/Earned Media. Experience with SQL, Python, and R for data analysis and model development. Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.); classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc.), and other AI/ML techniques; experimental design; and forecasting/sensitivity analysis. Comfortable working daily in cloud-based data platforms. Expert level MS Excel skills, including advanced functions (e.g., Solver), data analysis, pivot tables, macros, and VBA (Visual Basic for Applications), and applicability of these features for developing and managing financial models for business case development and forecasting. Experience working with Power BI, Tableau, or other data visualization software. Strong foundation in statistical techniques for quantifying the impact of marketing activities. Communication Excellent verbal and written communication. Proven data analysis background with the ability to transform analysis into insights, recommendations, and proposals for senior management. Ability to communicate complex concepts simply and succinctly. Decision-making and Autonomy High self-reliance, self-efficacy, initiative, and learning agility. Strong at both structured and unstructured problem solving. Interaction Manage and/or partner on projects with vendors and consultants. EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Required Bachelor’s and/or master’s degree in any area of social science, business, marketing, advertising, or a closely related field. Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, gathering requirements, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions. 7+ years of experience in advanced analytics and statistical modeling in the areas of business performance analysis, forecasting, promotion and media effectiveness and optimization, and consumer behavior Excellent verbal and written communication and presentation skills. Able to communicate effectively to all levels of the organization, including senior leadership. Bring a growth mindset, curiosity, positivity, intuitive thinking, and a passion for excellence. Preferred Media agency or retail industry analytics experience a plus. Experience with survival analysis (time-to-event, duration, event history analysis, etc.) a plus. Knowledge of CRM systems and marketing automation tools a plus. ADDITIONAL INFORMATION (Add any information legally required for your country here) Domestic travel required (up to 10%). BioLife Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. W e are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Bannockburn, IL U.S. Base Salary Range: $137,000.00 - $215,270.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Bannockburn, IL Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt Yes

Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently . This position is based at the Toyota Headquarters in Plano, TX with onsite work Monday-Thursday and remote work on Fridays Who We're Looking For Toyota Financial Services (TFS) seeks a dynamic and experienced Data Science Manager to drive data-driven innovation across our organization. The role offers the opportunity to lead strategic data science initiatives across multiple business domains, including Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections, Insurance. As an ideal candidate, you'll combine hands-on technical expertise with strong leadership abilities to guide both project outcomes and team development. What you’ll be doing Technical Leadership: Spearhead the development of sophisticated predictive and prescriptive models that drive business value Establish and maintain data science best practices, methodologies, and quality standards Design and implement scalable data pipelines for extracting, transforming, and analyzing complex datasets Translate analytical insights into clear, actionable recommendations for senior leadership Regularly participate in code review and hold a high bar for code quality. Team Management: Build and mentor a high-performing team of data scientists, fostering their professional growth and technical capabilities Balance hands-on model development with strategic team leadership Drive project execution through both direct reports and cross-functional project teams Business Partnership: Partner with business leaders to identify high-impact opportunities for data science applications Present complex analytical findings to stakeholders at all levels of the organization Develop and execute data science strategies that align with TFS's business objectives Lead the evaluation and adoption of emerging data science technologies and methodologies Qualification Section What you bring Education & Experience Master's degree or higher in Statistics, Data Science, Computer Science, Mathematics, or related quantitative field At least 5 years of progressive experience in applied data science and analytics Demonstrated experience leading and mentoring junior data scientists and analysts Track record of successfully delivering complex data science projects in a business environment Technical Expertise Strong proficiency in Python and its data science ecosystem Extensive experience with modern machine learning frameworks including scikit-learn, PyTorch, and statsmodels Deep understanding of statistical and machine learning techniques. Experience with data manipulation, cleaning, and pipeline development Leadership & Soft Skills Proven ability to translate complex technical concepts into actionable business insights Strong problem-solving skills with a proactive approach to identifying opportunities Excellence in stakeholder management and cross-functional collaboration Outstanding written and verbal communication skills Added bonus if you have Ph.D. in Statistics, Mathematics, Economics, Computer Science, or related quantitative field Cloud Platform Expertise: Experience deploying and scaling machine learning models on cloud platforms (AWS SageMaker, Azure ML) Understanding of cloud-based data processing and storage solutions Knowledge of MLOps best practices and deployment workflows Strategic Leadership: Track record of successfully influencing and driving change across multiple departments Experience managing complex, cross-functional initiatives with competing priorities Ability to build consensus and align stakeholders around data science initiatives Technical Architecture: Experience modernizing legacy systems and processes Knowledge of data architecture principles and system integration Proven ability to design and implement scalable data science solutions What We’ll Bring During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include: A work environment built on teamwork, flexibility and respect. Professional growth and development programs to help advance your career, as well as tuition reimbursement. Team Member Vehicle Purchase Discount Toyota Team Member Lease Vehicle Program (if applicable) Comprehensive health care and wellness plans for your entire family Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute. Paid holidays and paid time off Referral services related to prenatal services, adoption, childcare, schools and more. Tax Advantage Accounts (Health Savings Account, health Care FSA, Dependent Care FSA) Belonging at Toyota Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com .

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Manager - REMOTE. In this role, you will influence how the platform supports safe interactions among users by guiding a dedicated team of analytics professionals. You will have the opportunity to drive strategic initiatives, improve processes, and ensure that safety metrics and insights are effectively communicated across teams. This is a vital role that combines technical management with the power of data-driven decision-making in a fast-paced environment. Your leadership will directly impact user experiences and safety perceptions while promoting a positive, engaged community among users. Accountabilities Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing coaching, feedback, and development support. Participate in the Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation, maintaining and improving existing processes. Enhance team capabilities in strategic impact through process improvement and stakeholder management. Formulate your own strategic view on safety improvements and advocate for change through thought leadership. Requirements Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation and abuse detection. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build high-performing data science teams. 5+ years in data science or analytics with proficiency in SQL and R or Python. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication skills and ability to convey complex technical findings to various stakeholders. Experience with self-service analytics tools like Tableau, Looker, or PowerBI. Strong perspective in safety or risk domains with application of data science. Adopt a management philosophy that fosters autonomy and accountability within teams. Collaborative, low-ego approach with a bias towards action and learning. Benefits Competitive salary range between $248,000 to $279,000 + equity + benefits. Opportunities for professional growth and development. Flexible working environment with a strong commitment to inclusion. Engaging company culture focused on gaming and community. Access to comprehensive health and wellness benefits. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 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, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team! Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others: Built In's 2026 Best Midsize Companies to Work For in New York City Built In's 2025 Best Places to Work For In New York City Built In’s 2024 & 2025 Best Startups to Work For In the U.S. Built In’s 2023 - 2025 Best Startups to Work For In New York City Fast Company’s Most Innovative Companies of 2022 Business Insider’s Most Promising Consumer Startups 2022 Forbes Fintech 50 2022 Role Overview: At Brigit, our Data Science team has been dramatically scaling their impact. We’re aiming to integrate new models across several product domains over the next year and we continue to iterate and optimize in the areas of credit risk and payments where we already have models deployed. Doing this will require our team to grow, but also will require a more concerted effort in planning and integrating with product teams, understanding their roadmap, and exploring projects that make sense in the context of this. To support this growth, we’d like to hire a motivated Director of Data Science to grow and lead this team to its maximum potential. What you'll be doing: Managing and growing a team of (currently 4) data scientists focused on modeling key business problems. Mentoring and guiding team members as they build out quantitative models in python using industry standard techniques. Evangelizing the data science team’s capabilities and integrating with product, engineering and operation teams in order to build a roadmap and backlog of data science solutions with business impact. Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction. Working closely with our Modeling Engineering team (currently 1) to optimize and improve our infrastructure for model research, development and deployment. What you have: 2+ years of Data Science management with a team of >3 5+ years of modeling/data science experience overall 2+ years of experience at a consumer product company Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.) Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial. A Master’s or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes The anticipated annual base salary for this position is $225,000 - $240,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Benefits & Team Medical, dental, and vision insurance Flexible PTO Policy 401k plan Paid Parental Leave Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support Monthly reimbursements to use against wifi and cell phone bills Annual reimbursement for Learning & Development Help hard working Americans build a brighter financial future High-growth company A dynamic, flexible and collaborative start-up work environment with a highly talented team Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com. Disclosures: For information on our data privacy policies, see the Brigit California Personnel Privacy Policy . Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

Job Description Senior Software Engineer, Data Science Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical/Innovation Center in Warren (MI), Austin (TX), or Mountain View (CA) three times per week, at minimum. This position can be located at any of these locations. Why Join Us General Motors is at the forefront of transforming transportation through software-driven innovation. We’re driven by our bold vision of a future with Zero Crashes, Zero Emissions, and Zero Congestion. As we push forward into an era of vehicle intelligence and digital engineering, Artificial Intelligence and Data Science are a cornerstone of our strategy. Join a team at the forefront of innovation, where vehicle software design, release, warranty, and telemetry data converge to transform engineering and quality processes. We’re pioneering intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning driving faster issue resolution and launching vehicles with exceptional quality. We’re looking for a Senior Software Engineer for Data Science to build scalable, AI-driven solutions that deliver measurable impact across engineering and customer experience. The Role As a Senior Software Engineer for Data Science, you will lead the development of scalable AI/ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains. You’ll collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction. You will contribute to executive decision-making, product launch strategies, and data-driven quality improvements while staying ahead in a fast-paced, evolving tech landscape. What You’ll Do Prototype, and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs. Lead AI/ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs. Apply statistical methods, anomaly detection, and clustering to uncover patterns. Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets Create interactive data visualizations to communicate and interpret complex data Design and build supervised and unsupervised ML models Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLFlow, cloud-native services). Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments. Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms. Mentor junior level employees, providing coaching and guidance on difficult issues. Your Skills & Abilities (Required Qualifications) Bachelor’s in Computer Science, Engineering, Mathematics, or related field, or equivalent work experience 5+ years of experience building and deploying advanced machine learning or deep learning systems in production. Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh) Knowledge of ML modeling and toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks) Experience with MLOps tools and deploying models via containerized microservices on cloud platforms. Data Visualization using PowerBI, Databricks Apps, Azure Apps Exceptional analytical and independent problem-solving capabilities Strong listening and communication skills and ability to collaborate cross-functionally. Demonstrated ability to mentor junior level employees, providing coaching and guidance on difficult issues. What Will Give You a Competitive Edge (Preferred Qualifications)​ Master’s or PhD in Computer Science, Engineering, Mathematics, or related field 7+ years of experience building and deploying advanced machine learning or deep learning systems in production. Experience with retrieval-augmented generation (RAG), prompt engineering, and embedding optimization. Demonstrated expertise with LLMs, transformer architectures, AI agents Experience in automotive domain GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.). Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary range for this role is $134,000 - $226,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #LI-LL2 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources . Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire . Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Horsham, Pennsylvania, United States of America, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health – Therapeutics Development & Supply (TDS) This position can be located in Spring House, PA; Malvern, PA; Horsham, PA; or Beerse, Belgium. For candidate based in EMEA with interest in working in Beerse, please apply to requisition: R-047946 Travel: Up to ~25% domestic/international Reports to: VP, R&D Data Science – DPDS Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Role Summary Therapeutics Development & Supply (TDS) is the bridge between scientific discovery and clinical application, encompassing Chemistry, Manufacturing & Controls (CMC), Device Development, and Clinical Supply Chain. This organization ensures that every molecule, modality, and delivery system is robustly developed, scaled, and supplied under rigorous quality and regulatory standards. We are seeking a Global Head of Data Science & Digital Health – TDS to enable and embed AI/ML and advanced analytics into the core of drug development and supply. In close partnership with TDS teams and the broader DPDS organization, this leader will transform process design, scale-up, and clinical supply optimization into data-driven engines of speed, reliability, and compliance across all modalities—small molecules, biologics, and cell & gene therapies. By championing digital twins, predictive modeling, and GenAI-powered knowledge acceleration, this role will industrialize development processes and strengthen J&J’s leadership in innovative medicine through deep collaboration with TDS functions, JJT, and enterprise data/AI partners. Key Responsibilities Strategy & Portfolio Leadership: Partner to define and execute the TDS Data Science strategy aligned to TDS/DPDS priorities; build a multi-year roadmap for data, analytics, AI/ML (incl. GenAI); manage portfolio prioritization, funding, and value realization. CMC, Product & Process Development: Enable scientists and engineers to build and expand scientific models by providing an ecosystem of tools, standards, and scalable capabilities. Support citizen data scientists and DOS teams within TDS through training and frameworks, ensure model governance and interoperability, and create pathways to scale models for broader utilization and reuse. Provide expert guidance and advanced data/modeling support where needed, while fostering collaboration across TDS modalities, DPDS, and the broader R&D organization. Device/Combination Product & Platform Engineering: Apply reliability modeling, image/signal analytics, and simulation to device/combination product performance and manufacturability. Clinical Supply Chain Analytics: Build forecasting, simulation and optimization engines for clinical supply, IRT signal integration, and risk-based inventory strategies; develop scenario planning/digital twin for clinical supply networks. Platforms, Data & MLOps: Co-own with DOS and JJT the data and ML platform architecture, MLOps, model monitoring, and governance for GxP contexts. GenAI & Knowledge Acceleration: Lead targeted use of GenAI/LLMs for technical documentation, regulatory authoring aids, and knowledge acceleration. External Innovation & Partnerships: Scout and partner with academia/startups/CROs on cutting-edge discovery, development and manufacturing analytics. People & Community Leadership: Build and lead a global team of data scientists, AI/ML engineers and applied statisticians; upskill TDS Scientists and Engineers with Data and AI/ML fluency. Quality, Safety & Compliance: Ensure data integrity, model validation, computerized systems compliance, and transparent model interpretability in regulated environments. Qualifications Required: PhD (or equivalent experience) in Chemical/Biochemical Engineering, Bioinformatics Pharmaceutical Sciences, AI/ML, Applied Math/Statistics or related field. 15+ years applied data science/AI leadership in biopharma development/CMC and/or clinical supply, including experience leading multi-disciplinary teams in a matrix setting. Demonstrated outcomes in process and analytical development or clinical supply analytics. Fluency with modern ML techniques, and MLOps on cloud platforms; experience integrating with LIMS/ELN/MES. Proven ability to synchronize tech and data science roadmaps, and drive portfolio value realization. Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization. Preferred: Experience across multi-modality portfolios (small/large molecules, cell & gene). Familiarity with GenAI/LLMs in R&D settings, agents, and AI deployments in a regulatory setting. Prior collaboration with External Innovation partners in development/manufacturing technologies. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

Position Summary... Sam’s Club is accelerating the future of the Member experience — and we’re looking for a transformational leader who can turn complex signals into bold strategic action. As the Group Director of Experience Insights & Transformation, you will guide the enterprise in understanding the Member journey, shaping predictive strategies, and investing where the next 100 clubs will grow. You’ll connect data science, business strategy, and marketing into one cohesive vision that drives multi-channel engagement, informs P&L decisions, and elevates the Member experience at scale.This role is ideal for someone who is incredibly smart, fast-learning, and able to translate complexity into clarity — a leader who can go head-to-head with top data scientists, influence officers, and turn insights into enterprise-wide transformation. What you'll do... What You’ll Do Set the enterprise roadmap by converting cross-functional insights into predictive strategies that shape Member experience, operational decisions, and marketing campaigns,. Lead multidimensional data science and analytics , overseeing the models, algorithms, tools, and data governance structures that power strategic decisions across Membership, Marketing, E2E, and MAP (Membership Access Platform). Drive multi-channel engagement through advanced personalization, A/B testing, and data exploration — ensuring insights lead directly to profitable outcomes and measurable P&L impact. Prototype, test, and scale new approaches (NLP, ML, advanced modeling) that push the organization forward and modernize how Sam’s Club learns from data. Build and align cross-functional partnerships , ensuring insights influence officers’ meetings, MSM, Trading, Board reviews, and enterprise priority settings. Lead transformation initiatives that close operational gaps, identify new growth opportunities, and inform strategic resource allocation. Develop and mentor a high-caliber analytics and insights team , elevating technical capabilities while fostering a culture of curiosity, continuous learning, and innovation. Serve as an enterprise thought leader , advocating for the Member and ensuring all analytics functions stay aligned to strategic business priorities. What You’ll Bring A transformation mindset and proven ability to turn disconnected data, insights, and business realities into an integrated, future-oriented strategy. Exceptional data science literacy — strong enough to challenge and guide senior data scientists while still translating complex concepts into clear business actions. The ability to be flexible as a business leader, data scientist, and marketing strategist with a Member first mindset. Demonstrated experience developing predictive models, segmentation frameworks, and analytical systems that influence enterprise decisions. A strong grasp of multi-channel Member journey analytics , digital platforms, and operational levers that drive engagement and growth. Deep experience leading cross-functional efforts and influencing senior executives across large, complex organizations. A track record of building teams, mentoring talent, and shaping high-performance cultures. A passion for connecting insights to real-world outcomes — defining the metrics, comparing scenarios, and making bold, evidence-based decisions. At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet! -Health benefits include medical, vision and dental coverage -Financial benefits include 401(k), stock purchase and company-paid life insurance -Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices . - Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . The annual salary range for this position is $195,000.00 - $370,000.00 Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location). ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 8 years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 3: 10 years' experience in an analytics or related field.4 years' supervisory experience. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, Omics- R&D Data Science & Digital Health to focus on Neurodegeneration and/or Neuropsychiatry. This position can be located in either Cambridge, MA; Spring House, PA; San Diego, CA, United States of America; or Beerse, Antwerp, Belgium, and may require approximately 10% domestic and international travel. Please note that this role is available across multiple countries and may be posted under different requisition numbers to align with local requirements.While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): USA – Requisition Number: R-052120Belgium- Requisition Number: R-053690 Role Summary Our Neuroscience Data Science & Digital Health (DSDH) team integrates the power of multi-omics, digital health technologies and clinical/real-world evidence (RWE) data to accelerate the delivery of transformational therapies for Neurodegeneration, Neuropsychiatry and Ophthalmology. We drive decision-making and breakthroughs from molecular discovery to clinical trials by partnering along the pipeline to ensure that data science & digital health strategies are embedded in every program. We are seeking a Principal Scientist, Omics to join our DSDH team focused on Neurodegeneration and/or Neuropsychiatry . In this role, you will drive the precision neuroscience strategy by shaping and leading the execution of projects that bring to bear bioinformatics, artificial intelligence and machine learning as needed to link molecular signatures (genetics, gene expression, proteomics) to disease stage and progression, mechanisms of action, and disease endophenotypes. You will be part of a cross-functional team of data science leaders and partner closely with the Neuroscience Therapeutic Area, Quantitative Sciences, and Discovery Product Development and Supply (DPDS). This position offers the opportunity to transform how we understand disease biology, identify novel targets, stratify patients, and deliver better outcomes for people living with neurodegenerative and neuropsychiatric disorders. Key Responsibilities Shape the strategy and implement projects for data-driven identification and evaluation of novel therapeutic targets, patient stratification approaches and precision biomarkers from the perspective of omics data, brain biology, and mechanism of action, drawing upon a combination of internal and external resources. Work in multi-disciplinary teams, composed of discovery scientists, clinicians, computational biologists and biomarker experts to develop precision neuroscience plans across the Neurodegeneration and Neuropsychiatry portfolio, being forward looking and foreseeing a path to launch. Remain current on the constantly evolving landscape of neuroscience, neuropsychiatry, and neurodegeneration, omics, bioinformatics and AI/ML research in search of better strategies for accelerating and prioritizing our portfolio based on biological insights. Build strong relationships with internal partners and key academic collaborators, technology providers, and consortia to position the company at the forefront of data-driven neuroscience. Qualifications PhD in neuroscience, computational biology, bioengineering, biostatistics, or a related field is required. 3+ years of progressive industry or academic experience in applying data-driven methods in the context of target discovery and validation, translational science and patient stratification is required. Extensive background working hands-on deriving insights from high-dimensional molecular data – particularly genetic, RNAseq, proteomics and/or single-cell data is required. Proficiency in R, Python, or similar programming languages is required. Proven track record of scientific contributions in this field with first author publications in high-impact journals is required. Experience translating data into strategies and executable action plans is required. Ability to clearly communicate technical work to a diverse audience is required. Background and experience working in Neurodegeneration and/or Neuropsychiatry is strongly preferred. Experience working with and leading interdisciplinary teams through either people or project leadership is preferred. Familiarity with machine learning and innovative AI methodologies is preferred. Strong reputation for driving novel solutions to problems and providing strategic advice is preferred. Familiarity with clinical development processes is preferred. Up to approximately 10% yearly travel is required (International, Domestic) This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, or San Diego, CA, United States of America; or Beerse, Antwerp, Belgium, and may require approximately 10% travel domestic and international. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position in the US is $117,000 to $201,250. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.#LI-SL#JNJDataScience#JNJIMRND-DS#JRDDS#LI-Hybrid Required Skills: Preferred Skills: Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Adjunct Assistant/Associate Professor – Health Data Science and Artificial Intelligence Applications in Medicine Department of Health and Clinical Outcomes ResearchSaint Louis University School of Medicine Position Summary The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine. Primary Responsibilities Adjunct faculty will teach one or more of the following courses or related electives within the Department’s data science and AI curriculum: Privacy, Ethics, Regulation & Policy Introduction to Artificial Intelligence Predictive Modeling and Machine Learning Image Processing and Deep Learning Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models Reinforcement Learning for Clinical Decision Making Telehealth & Telemedicine AI for Precision Medicine & Genomics & Diagnostics Research in Medicine Additional responsibilities include: Develop and deliver engaging, practice-based course materials. Mentoring students on applied research and analytics projects using real-world datasets. Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics. Participating in departmental meetings or student events, as appropriate for adjunct appointments. Qualifications Required: Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field. Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics. Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS). Strong communication skills and a commitment to high-quality, student-centered graduate teaching. Preferred: Experience teaching graduate courses in AI, data science, or health informatics. Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts. Familiarity with regulatory, ethical, and equity considerations in digital health and AI. Record of scholarly or professional contributions in data-driven healthcare innovation. Appointment Details Type: Adjunct, non-tenure track Rank: Assistant or Associate Professor (commensurate with qualifications) Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available) Start Date: Ongoing recruitment for upcoming academic terms Application Instructions Interested applicants should submit: A cover letter outlining teaching interests and relevant experience Curriculum vitae (CV) Contact information for three professional references Applications will be reviewed on a rolling basis until positions are filled. Function Faculty - Adjunct Scheduled Weekly Hours: 20 Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $169,400.00 - $279,600.00 Target Openings 1 What Is the Opportunity? Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. As a Sr. Director & Data Scientist, you will lead a team responsible for challenging conventional thinking and use data to communicate insights and tell the story to business and analytics leadership. You will also collaborate with technology partners to drive analytics out to our products in the marketplace, giving Travelers a competitive advantage. What Will You Do? Communicate analysis, insights, and results to team, peers, business partners, and on an occasional basis to executive level leaders. Anticipate potential objections and influence senior leaders to adopt a different point of view. Lead a team of managers and individual contributors that are executing on multiple projects and activities. Partner with teams and leaders to ensure the successful execution of data science strategies. Set and manages expectations with business partners for portfolio of work. Generate ideas and drives consensus; is aware of potential conflicts. Make suggestions in the development of business plans for the portfolio. Broadly and frequently share expertise with the business and/or data science community through discussions, presentations, or peer reviews to improve business outcomes. Assist with recruiting, training, and talent assessment efforts. Provide guidance and coaching and drive career/technical development for team members. Perform other duties as assigned. What Will Our Ideal Candidate Have? Master's in STEM related field or equivalent. 10 or more years of related work experience, including 6 or more years of team leadership experience. Industry expertise in modeling/ research/ analytics or actuarial required. Industry level knowledge of value creation and business model concepts. Regularly interacts with executives and/or major customers using negotiating and/or influencing skills. Subject matter expertise in the majority of external software programs. Ability to apply emerging statistical procedures to large highly complex work. Recognized industry expertise in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus six years of experience or any suitable and equivalent combination of education and work experience. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins. This position involves developing automated solutions for the annotation of language data. This includes parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. The requirement involves NLP, machine learning (ML), data modeling, and programmatic optimizations where needed all while interacting with a premier agency system. 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.

About This Role: We are seeking a Director of Advanced Analytics, Data Science & AI to spearhead efforts in generating and delivering data-driven insights that bolster a brand, therapeutic area, or cross-brand/enterprise initiatives, enhancing our innovative capabilities. Positioned at the heart of our strategic endeavors, this role involves influencing business partners, leading the execution and interpretation of AI/ML models, framing complex problems, and crafting compelling solutions. You will play a pivotal role in communicating clear and impactful data-driven insights across various teams. This dynamic and fast-paced position within a highly collaborative environment covers a broad range of strategic topics critical to our business success. To excel, you must possess an unwavering passion for data-driven problem solving, a robust background in data science and AI, and a track record of leading and developing high-performing teams that drive meaningful change and innovation within our organization. What You’ll Do: Provide an enterprise view of insights across Product/Brand and Therapeutic Areas on key topics like Resource Allocation, Measurement & attribution of market mix, channel optimization, digital analytics, predictive models, decision engine/next best action. Lead the development and implementation of data-driven solutions using advanced analytics, machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics. Manage and mentor a team of data scientists and AI experts to drive innovation and deliver high-quality results. Influence end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations. Break down technical concepts into digestible insights and guide diverse stakeholders on how to interpret them effectively. Collaborate within the insights & analytics team, coordinating efforts with counterparts to develop and execute a comprehensive brand analytics plan. Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives. Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives. Define and track key performance indicators to measure the success and impact of data-driven solutions. Continuously evaluate and enhance existing brand/TA data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI. Stay up to date with the latest advancements in data science and AI, applying them to improve processes and outcomes. Build university partnerships for driving innovation and leading-edge research techniques. Build strong relationships with key stakeholders across the enterprise, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making. Ensure compliance with data privacy and security regulations and maintain a high level of data integrity. Develop and manage budgets, resource allocation, and timelines for data science and AI projects. Who You Are: You have a proven ability to prioritize and manage complex projects, establishing vision and direction within a fast-moving, challenging, and energetic commercial environment. As a highly collaborative and perceptive problem-solver, you demonstrate an ability to synthesize strategic insights and drive innovation. Your exceptional ability to influence, collaborate, and communicate with internal and external stakeholders at all levels sets you apart. You navigate complex scenarios with strategic foresight, ensuring alignment with business objectives and fostering impactful outcomes through data science. Required Skills and Experience: A minimum 10 years of experience in advanced analytics in US commercial settings, including previous experience in biotech/pharmaceutical organizations or leading global management consulting firms. Minimum of a bachelor's degree, preferably in engineering, economics, statistics, computer science, or a related quantitative field. Business leadership skills to contextualize data science findings, recommendations, and implications for the business, influencing decision-making in areas such as resource allocation, marketing mix optimizations, and digital strategies. Extensive expertise and experience with both traditional SQL and modern NoSQL data stores, including SQL, and large-scale distributed systems such as Hadoop or working in Snowflake/Databricks. Strong experience with machine learning technology, such as big data stack, Python, R, and visualization techniques Job Level: Management Additional Information The base compensation range for this role is: $195,000.00-$269,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance. In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being ; including, but not limited to: Medical, Dental, Vision, & Life insurances Fitness & Wellness programs including a fitness reimbursement Short- and Long-Term Disability insurance A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31) Up to 12 company paid holidays + 3 paid days off for Personal Significance 80 hours of sick time per calendar year Paid Maternity and Parental Leave benefit 401(k) program participation with company matched contributions Employee stock purchase plan Tuition reimbursement of up to $10,000 per calendar year Employee Resource Groups participation Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

Play an integral role in the development of an ML ops framework for cyber incident detection. This is a project with high visibility that seeks to revolutionize cyber hunting. The role is multifaceted and will enable the contractor to strengthen and broaden skills in the areas of data engineering, ML, and cyber threat hunting and pen testing. 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.

Key Responsibilities Set the Vision: Define the strategic direction for data science across Goosehead, ensuring alignment with enterprise goals and long-term AI ambitions. Leadership and Team Development: Build, mentor, and scale a high-performing team of data scientists while fostering a culture of technical rigor, creativity, and impact. Strategic Partnership: Act as a trusted advisor to senior executives and business leaders, translating complex challenges into actionable AI strategies. Applied Machine Learning: Oversee the design, development, and deployment of ML systems driving automation, personalization, and operational efficiency. Methodology and Innovation: Advance the organization’s analytical frameworks, experimentation design, and causal inference capabilities. Operational Excellence: Establish best practices for MLOps, model lifecycle management, governance, and responsible AI. Collaboration with Engineering: Partner with the Director of AI Infrastructure and Data Architecture to ensure seamless integration between data science models and underlying data and ML platforms. Measurement and Storytelling: Define success metrics for AI initiatives and communicate outcomes clearly to executive and non-technical audiences. Technology Leadership: Stay at the forefront of AI and ML research, bringing emerging technologies such as LLMs, generative AI, and reinforcement learning into practical business use cases. Experience and Qualifications 10+ years of experience in data science or machine learning, including at least 3 years in a leadership capacity managing teams and enterprise-level initiatives. Proven track record of developing and deploying ML models that drive measurable business value. Deep proficiency in Python and modern ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch, with strong SQL skills. Expertise in model development, feature engineering, and experimentation across structured and unstructured data. Strong understanding of MLOps principles, CI/CD for ML, and cloud-native architectures such as Azure, Databricks, and Snowflake. Experience designing and operationalizing responsible AI frameworks, including governance, fairness, and interpretability. Exceptional ability to communicate complex technical concepts to senior stakeholders in clear, business-relevant terms. Demonstrated success building cross-functional relationships across engineering, analytics, and business domains. Preferred Qualifications Advanced degree (MS or PhD) in Computer Science, Statistics, Applied Mathematics, or a related quantitative field. Experience with large-scale experimentation, causal inference, or reinforcement learning. Familiarity with LLMs, RAG pipelines, and prompt engineering for applied business use. Background in insurance, financial services, or other regulated industries. Experience building and scaling AI functions or centers of excellence within a growing enterprise.

Leidos is seeking a Software Engineer/ Data Science Librarian to manage and optimize databases supporting GEOINT product dissemination and process expurgation requests to disseminate discrete geospatial product packages to support both internal and foreign partners. This role will be responsible for maintaining, enhancing, and ensuring the accuracy of spatial content databases, including country/state boundary generation for GEOINT products using NGA tools/applications and ESRI ArcGIS. The ideal candidate will have strong experience in coding/script development, database management, geospatial components, and software engineering, ensuring seamless data integrity, automation, and efficient and accurate dissemination. This position requires a highly collaborative individual with the ability to engage across multiple offices, maintain and enhance ingest and validation scripts, and support end-to-end software operations related to GEOINT product dissemination. Experience operating across multiple security domains is highly desirable. Additionally, this role requires a strong public-speaking presence, the ability to deliver briefings, and act as the face to the customer for technical discussions and stakeholder engagements. Primary Responsibilities 1. Database Management & Spatial Content Generation Manage and maintain databases to support GEOINT product dissemination, including spatial content and country/state boundary generation. Develop, optimize, and enhance data ingest, validation scripts, stored procedures, and code to ensure data accuracy and efficient processing. Integrate and optimize geospatial components such as Oracle Spatial, ArcSDE, and SDO_Geometry to improve data integrity and visualization. Understand Unix/Linux commands and file systems. Be able to write shell scripts, cron jobs, and set file/folder-based permissions. 2. Software Engineering & Automation Maintain and enhance Perl scripts, Java and Python code packages, and database constructs to improve automation and efficiency. Develop and maintain schemas, stored procedures, and database validation tools to ensure reliable GEOINT product integration. Troubleshoot and resolve software and database issues related to content dissemination, ensuring high availability and integrity of GEOINT data. Render maps in ESRI ArcGIS using data queries and apply layers using the mapping tool. 3. Collaboration & Cross-Domain Support Work across multiple offices and security domains (NIPRnet/Xenon, SIPRnet, JWICS) to ensure seamless data integration and secure dissemination. Engage with stakeholders, product owners, and data users to optimize data structuring, usability, and distribution. Support end-to-end operations for software and database systems related to GEOINT product dissemination. Serve as the primary point of contact for customer briefings and technical discussions, ensuring clarity and transparency in database and dissemination processes. 4. Public Speaking & Customer Engagement Develop and deliver presentations, briefings, and reports to customers, stakeholders, and senior leadership. Confidently represent the organization in customer-facing engagements, ensuring technical concepts are communicated effectively. Facilitate knowledge-sharing sessions and training for internal and external stakeholders. Basic Qualifications Requires 8+ years of experience and a Bachelors degree or 6 years of experience with a Masters Top Secret security is required and ability to obtain a TS/SCI with Polygraph post hire. 5+ years of experience designing databases and integrating GEOINT products into databases Strong experience developing Perl scripts, Python/Java code packages, SQL query, C++ code, database constructs, schemas, and stored procedures. Extensive knowledge of database management with geospatial components, including Oracle Spatial, ArcSDE, and SDO_Geometry. Proven ability to optimize and automate data ingest, validation, and dissemination workflows. Competency in ESRI ArcGIS to query spatial data and apply multiple layers to a geospatial map Experience supporting software operations and maintenance for GEOINT content expurgation/dissemination. Understanding of cross-domain data management and security protocols (NIPRnet/Xenon, SIPRnet, JWICS). Strong public-speaking skills, experience in delivering briefings and presenting technical concepts to leadership and customers. Sec+ certification Soft Skills & Collaboration: Ability to engage across multiple offices, ensuring database alignment with GEOINT product requirements. Strong problem-solving skills with the ability to troubleshoot complex software and database issues. Excellent communication and collaboration skills, with experience working in cross-functional teams. Comfortable speaking in front of customers and stakeholders, ensuring clarity and transparency in all communications. Understand data integrity and validation concepts and the structure, intent, and usage of data-sharing agreements. Familiarity with Agile methodologies and Agile project management structures. Preferred Qualifications Experience working in government, defense, or intelligence environments. Familiarity with cloud-based GIS and database solutions. Knowledge of automation frameworks and DevSecOps best practices. Certifications in Database Management, GIS, or Software Engineering. Previous experience leading technical discussions and customer briefings. At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.” If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in. Original Posting: January 9, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.