Data scientist jobs near me

The Senior Data Engineer is responsible for modeling complex problems, building pipelines, maintaining ETL processes and troubleshooting issues within a cloud environment. They utilize cloud databases, Databricks and databases to support a robust infrastructure which drives large, revenue generating data strategies. Additionally, the Senior Data Engineer suggests architecture ideas, works closely with architects and assists junior engineers with their tasks/approaches. Essential Duties And Responsibilities Participate in use case feasibility discussions and translate business idea / business problems into use cases. Provide support as needed to maintain and update models running in production environment. Develop and maintain complex ETL processes and algorithms Own and enhance ETL processes to move data from PMS to cloud databases Monitor and troubleshoot processes on a daily basis Document new and existing processes Proactively and independently identify performance issues and recommend enhancements Modernize legacy data models and pipelines using ETL tools and cloud database capabilities. Work closely with Chief Architect to make improvements and larger architectural changes Recommend or suggest improvements to the existing architecture. Support junior team members with technical questions, code reviews and code enhancements. Understand business problems/needs and provide proposed solutions. Qualifications KNOWLEDGE & REQUIREMENTS Required Qualifications Be able to work well with people of various backgrounds and education levels and establish cooperative working relationships with all coworkers. Timely and effectively communicate information to and consult with others in order to complete work assignments. Act in a responsible, trustworthy and ethical manner that considers the impact and consequences of one's actions or decisions. Communicate ideas, thoughts, and facts in writing through the use of proper grammar, spelling, document formatting and sentence structure. Identify and respond to current and future clients' needs; provide excellent client service. Evaluate and analyze problems or tasks from multiple perspectives; adaptively employ problem solving methods to find creative or novel solutions; use logical, systematic and sequential processes to solve problems. Complete assigned job tasks in an accurate and timely manner. Carefully prepare for meetings and presentations; follow up with others to ensure that agreements, tasks or commitments have been fulfilled. Demonstrate commitment to achieving Company's core business objectives of increasing the role of pharmacy and improving patient health in America. Desirable Qualifications Experience working with healthcare technology. Experience resolving issues that do not have clear answers. Experience with machine learning and applied statistics Experience with Java and Springboot Thorough experience with Databricks, Glue, Talend, Informatica or other similar ETL tools. Experience working in cloud databases (Redshift, BigQuery) Highly motivated and possessed excellent interpersonal, problem solving, and technical skills. High sense of urgency and accountability Adaptable, friendly, and ability to work with a team. Passion for data and digging into the minutia of datasets. Take calculated risks based on data-driven analytics A self-starter and enjoys working in a fast-paced environment Education & Experience Requirements Minimum years of work experience: 7 years 6+ years of data analysis experience Expertise in algorithm design, machine learning, and applied statistics Proven track record in use of SQL specifically in cloud databases and working with data including extracting information, validating data, creating and maintaining custom data structures Minimum level of education or education/experience: Bachelors Degree in Bachelor's degree in Business, Computer Science, Information Systems or equivalent combination of education and experience. Experience resolving issues that do not have clear answers. Excellent attendance Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Frequent sitting in stationary position at a desk Occasional standing, walking, stooping, kneeling, squatting, and climbing stairs Occasional twisting of body Occasional reaching by extending hands and arms in any direction Occasional lifting, pulling, or pushing What's In It For You? Medical, Dental and Vision Plans Voluntary Benefits HSA & FSA Fertility & Family Planning Benefits Paid Parental Leave Adoption Assistance Program Employee Resource Groups Flex PTO for Exempt Associates & up to 15 PTO days in first year of employment for non-exempt associates 11 Paid Holidays Corporate Wellness Program 401k Employer Match & Roth Option Available - immediate eligibility

About Neudesic Passion for technology drives us, but it's innovation that defines us . From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Role Summary Neudesic is currently seeking a Senior Consultant - Data Scientist for our Data & AI Practice. This role will report to the Regional Director of Data & AI. The role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Requirements: 3+ years of hands-on experience in building and deploying machine learning and/or generative AI solutions in a business environment Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Business Analytics, Statistics, Mathematics); advanced degree preferred Proven expertise with Databricks and Microsoft Fabric for data engineering and ML workflows Proficient in Python (including ML/AI libraries such as scikit-learn, PyTorch, TensorFlow) and SQL; experience with R is a plus Strong understanding of statistical modeling, machine learning, MLOps, and large language models (LLMs) Demonstrated ability to work with large, complex datasets and relational/cloud-based databases (e.g., Azure SQL, Delta Lake) Experience operationalizing ML models and pipelines in production environments Preferred Qualifications Experience with cloud platforms, especially Microsoft Azure (Azure Machine Learning, Azure Data Lake, etc.) Familiarity with modern data engineering tools and orchestration frameworks (e.g., dbt, Apache Airflow, Delta Live Tables) Experience with data visualization and BI tools (e.g., Power BI, Tableau) Ability to communicate complex analytical and technical concepts to both technical and non-technical audiences Strong data storytelling skills and ability to drive insights from exploratory and visual analysis Intellectual curiosity, strong problem-solving skills, and a collaborative, team-oriented mindset Demonstrated leadership, relationship-building, and mentoring abilities More about our Predictive Enterprise Service Line: The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what's happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: · Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. · Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. · Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. · Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team's management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Phishing Scam Notice Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more. Neudesic is an Equal Opportunity Employer All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: ***************************************************

Please no third party applicants A pharmaceutical company is looking for a Senior Biostatistician for a 6-month renewable project. This consultant must be very hands-on and have proven experience supporting regulatory submissions. In addition, they must possess strong programming skills (TLFs) and CDISC expertise. Strong communication is critical. EXPERIENCE & QUALIFICATIONS 8-10+ years of biostatistics experience in the pharmaceutical industry with recent Sponsor side experience Minimum of MS degree in Biostatistics/Statistics Must have recent hands-on statistical experience such as drafting SAPs and conducting programmatic TLF reviews Proven track record with regulatory submissions Ability to analyze data and provide guidance to the statistical programming team if needed Excellent communication skills to interpret and explain complex results to the study team LOCATION: Work will be performed remotely and prefer to accommodate PST core working hours.

, Inc. Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco. About the Team At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. The Recommendation Algos team leverages personalization algorithms to power the Fix experience, which involves a combination of modeling style, diversity, long-term client behavior, and expanding Stitch Fix's total addressable market. In doing so, this team builds assortments that delight our clients while at the same time explore a client's stylistic preferences and drive client engagement. About the Role In this role, you will contribute to building the future of personalized apparel shopping by thoughtfully combining algorithms with product innovation. A key area of focus is the continued improvement of the quality of recommended assortments along various dimensions, including seasonality, diversity, and freshness. A secondary area is the ability to deliver high-quality recommendations in real time to engage and delight new clients and therefore expand our total addressable market. This role has a tremendous and direct impact on the business' bottom line and provides a unique opportunity to work cross-functionally across Strategy, Product, Merchandising, Styling, Marketing, and Engineering stakeholders. You're excited about this opportunity because you will… Support and execute the strategic vision of recommendation approaches for both algorithmically-generated assortments as well as human-in-the-loop augmented recommendations Manage experiments to test new features, including any communication of the experiments' results to stakeholders, and support the eventual launch of the feature Solve problems related to recommendation ranking and assortment generation. Modeling tools could include deep learning, weighted re-ranking, gen AI, or any other state of the art technique. Productionize models and systems partnering with our data platform team for real-time applications Leverage unique data about our clients, our merchandise, and their interactions to identify and solve client needs Work with our product, product design, and engineering teams to create roadmaps for developing new client products, user features, data flywheels, and infrastructure We're excited about you because… You have a solid understanding in modeling and experimentation You have led end-to-end machine learning and data projects, from inception to production and are proficient in deploying apps in Python You have a degree in a quantitative field such as Computer Science, Statistics, Physics or a related field. You have strong cross-functional, communication skills that help simplify and move complex problems forward with business partners You are a compassionate team player and you see your growth and success entangled with the growth and success of your peers You are innovative and inspired to take on new challenges and you do not shy away from potential failure You think about ethics in AI, the impact of machine learning on society, and want to bring that to bear in our work here Why you'll love working at Stitch Fix... We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You'll bring these characteristics to life in everything you do at Stitch Fix. We cultivate a community of diverse perspectives- all voices are heard and valued. We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. We win as a team, commit to our work, and celebrate grit together because we value strong relationships. We boldly create the future while keeping equity and sustainability at the center of all that we do. We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact. We offer comprehensive compensation packages and inclusive health and wellness benefits. Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. Salary Range$153,700-$226,000 USD This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: ****************************************************************

Remote - Work From Home The Data Scientist role at Acceleration Partners (AP) is a remote, work-from-home position, as are all positions at AP (a structure central to our culture and vision to change the work/life paradigm). Some travel may be required for internal meetings, conferences, and other events. The Role Acceleration Partners is seeking a Data Scientist to join our growing team. This role will be instrumental in designing, building and scaling our proprietary enterprise platform, APVision, will power the future of affiliate and influencer marketing. You will design, implement, and operationalize advanced statistical models, predictive algorithms, and experimentation frameworks that enable AP to deliver actionable intelligence to clients and internal teams. The ideal candidate combines strong technical acumen with a passion for solving complex business problems in marketing analytics. Top 5 Responsibilities Advanced Modeling & Prediction Collaborating with the development teams and analytics teams, you'll be building, validating, and deploying machine learning and statistical models (e.g., time-series forecasting, causal inference, marketing mix models) to predict partner and channel performance within APVision. Leverage Bayesian and other modern frameworks to solve ambiguous marketing challenges. Data Engineering & Transformation Partner with data engineering to structure, clean, and transform large-scale affiliate, influencer, and retail media datasets for analytics and modeling. Contribute to the improvement of pipelines and processes that support scalable experimentation and model deployment. Experimentation & Measurement Design and analyze A/B tests, geo-experiments, and incrementality studies that measure the true impact of affiliate and influencer marketing campaigns. Develop new metrics and evaluation frameworks to track success and uncover anomalies. Strategic Insights & Recommendations Translate model outputs into clear, actionable insights for clients and AP account teams. Partner cross-functionally with delivery, product, and strategy leaders to drive adoption of data-driven recommendations. Innovation & Thought Leadership Research emerging methods and bring forward new approaches to attribution, forecasting, and ROI measurement across affiliate, influencer, and retail media. Contribute to building AP's reputation as a leader in data-driven marketing strategy. What Success Looks Like By 6 Months You will have developed baseline predictive models for affiliate and influencer performance. You will be working cross-functionally to support campaign measurement and experimentation initiatives. Your insights will be directly influencing client strategies and internal product development. By 1 Year You will own and continuously improve a suite of predictive models and measurement frameworks that are core to AP's analytics platform. You will serve as a trusted advisor to leadership, bringing data-driven clarity to client strategy, product direction, and market opportunities. AP's teams will be using your outputs regularly to guide client recommendations and strategic planning. Qualities of the Ideal Candidate Strong sense of curiosity and intellectual rigor Ability to translate complex data into simple insights Confident and comfortable working in ambiguity Collaborative, adaptable, and outcome-oriented A builder's mindset - willing to prototype, test, and iterate Minimum Qualifications & Skills Master's degree in Statistics, Economics, Data Science, Engineering, or related quantitative discipline, or equivalent practical experience. 3+ years of experience applying advanced analytics to solve business problems. Proficiency in Python or R, SQL, and experience working with large-scale datasets. Direct experience with affiliate, influencer, and marketing data - including transformations, attribution challenges, and performance measurement. Familiarity with cloud-based data and analytics ecosystems, specifically AWS (Redshift, S3, Glue), SQL-based data warehouses, and BI/reporting platforms such as Power BI. Strong ability to translate model results into business insights for both technical and non-technical audiences. Preferred Qualifications Experience delivering marketing mix modeling, incrementality measurement, or geo-experiments end-to-end. Knowledge of Bayesian modeling frameworks and causal inference techniques. Proven ability to design analytics solutions that influence business decisions. Familiarity with affiliate, influencer, or retail media ecosystems is a strong plus. WHY ACCELERATION PARTNERS? Acceleration Partners is the world's largest and first-to-market Partnership Marketing Agency creating and nurturing partnerships that drive exceptional measurable outcomes for their clients. Managing clients in 40+ countries, AP's global team of 300+ focuses on data-driven strategies that connect brands to the right consumers through affiliate and influencer All of our work is supported by APVision, our proprietary technology suite which leverages the largest dataset of any agency in the Partnership Marketing agency ecosystem. Serving over 200 brands-including household names like Amazon, Apple, Target, Google, Marriott, Coinbase, and Burberry-AP's diversified team is creating what's next in the industry by building high-performing partnership marketing programs. As the only truly integrated global partnerships agency, AP prides itself on being at the cutting edge of industry developments and leveraging proven expertise to deliver unique solutions for brands seeking sustainable growth. AP PERKS & BENEFITS - WHAT WE OFFER 100% remote work for everyone Group medical, dental, and vision coverage insurance (with opt-out benefits) 401K with matching Open Paid Time Off Summer & Holiday wellness breaks in July and December Volunteer and Birthday Time Off Focus Fridays Paid Parental Leave Benefits Wellness, Technology & Education Allowances Paid sabbatical leaves, donation matching, and more!! Target Salary Range: $120,000 - $140,000 depending on location and experience. Benefits may vary based on employment status or country location. #LI-REMOTE

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for tagging data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! Responsibilities Work independently with cross functional teams to develop software and system requirements. Design, implement, and deploy state-of-the-art machine learning models. Monitor the performance of the auto-tagging system and drive continuous improvement. Lead team code quality activities including design and code reviews. Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations. Provide technical guidance to team members. Skills Expertise in deep learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms. Ability to build and productionize machine learning models and large-scale systems. Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May. Excellent problem-solving skills with a meticulous approach to model architecture and optimization. Ability to provide individual and team mentorship, including technical leadership for complex projects. Strong understanding of data labeling best practices, label consistency, and performance metrics specifically relevant to large-scale auto-tagging accuracy and dataset curation. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning. Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch. Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery. Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs). Demonstrated expertise in databases for data extraction, transformation, and analysis. Prior experience in mentoring and supporting junior engineers. Desirable Background in robotics or autonomous systems. Experience with multi-modal deep learning models, transformers, visual learning models (vLMs) etc. Experience with classifying driving maneuvers and traffic interactions using machine learning methods. Solid understanding of ML deployment lifecycle, MLOps practices, and cloud computing platforms (e.g., AWS, GCP). Expertise in PySpark/Apache Spark for handling large-scale data processing. Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Lift up to 50 pounds Remote role based out of Ann Arbor, MI. Remote employees work primarily from home or an alternative work space. Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range$167,000-$190,000 USD

Role Description We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding, and building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$197,400-$267,000 USDUS Zone 3$175,400-$237,400 USD

Join the Tilt team At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond outdated credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, we're not just changing how people access financial products - we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Staff Data Scientist Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions. The ideal candidate is passionate about using data and models to drive business growth and help customers improve their financial situations. For this role, we're looking for a seasoned data scientist to work within our talented DS team for Tilt Cash Advance and Thrive Line of Credit products. This individual will own creating and improving credit risk models, building ML based paycheck detection algorithms to help the business decrease loss rates and increase approval rates. The right person for this role is someone who shines while solving complex problems and is comfortable with a wide variety of technical tools. Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum 2 times a year. How You'll Make an Impact Grow user base and increase retention through machine learning and analytics Build machine learning models with large scale data sets to address business priorities Design and influence strategies on underwriting, marketing, fraud and customer experience Work closely with our engineering team as you implement models in production Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context Develop data standards and analytics pipelines to facilitate current and future analysis Why You're a Great Fit BS degree in engineering, computer science, finance or mathematics 6+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch Strong programming skills in Python with intermediate to advanced knowledge of SQL Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc. Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required Comfort working with a variety of cross functional partners in tech, product, credit, and business Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience Don't meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. What you'll get at Tilt Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You'll get started with a WFH office reimbursement. Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. Visibility is yours: You can count on direct exposure to our leadership team - we're a team where good ideas travel quickly. Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We've visited Vail, San Diego, and Mexico City, to name a few.) Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. The Tilt Way We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable - brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures. You're pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You'll Do: Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. Establish and maintain best practices for data collection, analysis, and reporting. Deliver actionable insights and recommendations focused on landing tangible product impact. Help foster a culture of data-driven decision-making and continuous improvement within the product teams. Ensure the integrity and accuracy of the data used for analysis and reporting. While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data. Expertise in translating complex data into insights that are actionable for cross-functional teams. Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience. Experience in building and maintaining reliable analytics infrastructures. Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders. Experience with 0 to 1 product initiatives is a plus, though not required. A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience. Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required. Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required. Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus. Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects base salary range, except for sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commission/sales bonus targets and annual base salary for the role. This pay range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Annual Pay Range$198,000-$278,000 USDWe are AI Native Apollo.io is an AI-native company built on a culture of continuous improvement. We're on the front lines of driving productivity for our customers-and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You'll Love Working at Apollo At Apollo, we're driven by a shared mission: to help our customers unlock their full revenue potential. That's why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core-we're all for one, meaning you'll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you're looking for a place where your work matters, where you can push boundaries, and where your career can thrive-Apollo is the place for you. Learn more here!

Our client is a Fortune 200 leading retail energy company focused on bringing the power of energy to people and organizations. Putting customers at the center of everything they do, they provide energy solutions to millions of people through their diverse portfolio of retail brands across North America. Take your career to the next level by working on a dynamic and innovative team that moves our world towards a sustainable energy future. Essential Duties/Responsibilities: Adhere to our culture of humility, curiosity, and impact Process data using Python, PySpark, and Databricks Develop purchase propensity models and product recommendation models Learn the job while performing hands-on analytics and modeling Help business partners make more profitable decisions based on customer and prospect insights Working Conditions: Fully remote Minimum Requirements: 0-3 years of experience in data analysis or related field Master's degree in a quantitative discipline or equivalent practical experience Experience with statistical software and database languages Preferred Qualifications: Experience using data science to improve customer experience and business profitability Ph.D. in a quantitative discipline Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing Proficiency with version control Experience with reading and writing data in S3 Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking

The Stanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full time Data Scientist to join the RAPID Survey Project team. The Data Scientist will oversee the work of a team of analysts, establishing and maintaining quality standards, reviewing outputs, and ensuring that research processes are executed with precision, consistency, and scientific rigor. Note: This position is a 1-year fixed term appointment that may be renewed based on performance and funding. This position is eligible for a remote work agreement and travel is required for convenings and events. Interested applicants should submit a resume and a cover letter describing why they are interested in this position at this stage of their career. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. ABOUT US Housed at Stanford Graduate School of Education, the Stanford Accelerator for Learning is the first university-wide initiative connecting scholars across disciplines and with external partners to bridge research, innovation, practice, and policy, and bring quality scalable and equitable learning experiences to all learners, throughout the lifespan. The Stanford Accelerator for Learning focuses on learning challenges most in need of new discoveries, evidence, and solutions and where we believe Stanford can make the most difference. Those include: adult & workforce learning, digital learning, early childhood education and development, equity in learning, learning differences, and policy & systems change. The Stanford Center on Early Childhood (SCEC) is an initiative of the Stanford Accelerator for Learning. The SCEC leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is conducted, communicated, and utilized, with the overarching goal that each and every child thrives from the start. POSITION SUMMARY RAPID began as a program of two national surveys of households with children under age 6 and the child care workforce. Led by Philip Fisher, Stanford Center on Early Childhood Director, the RAPID National Survey administers monthly surveys on a rapid-cycle schedule, and has collected data from more than 20,000 households and 12,000 child care providers in all 50 states. The survey and data inform policy, advocacy, academic, parent and practitioner audiences on the experiences, challenges, and strengths of parents of young children and child care providers. The goal is to support parent- and provider-driven policies and programs that equitably and effectively serve families, providers, and young children. RAPID is now implemented in community, state, and national contexts, working in partnership with local and state organizations. The RAPID datasets are extensive and quickly growing, and include both quantitative and qualitative data. The Data Scientist will oversee analyses of all data collected by the RAPID Survey Project. The person in this role will provide oversight and guidance to the RAPID Data Analysts, help strengthen the research process, and review and ensure accuracy and quality of data products. They will guide analysts through review, reflection, and constructive feedback on analytic approaches and outputs and provide final sign-off to ensure the team's work is rigorous, reliable, and high quality. The Data Scientist will be a resource in the production of data dissemination products, such as visualizations, fact sheets, and data briefs. The Data Scientist will maintain rigorous methodological standards, review work, support analysts, and strengthen both the quality of individual products and the skills of the research team. The successful candidate will bring extensive methodological experience, technical skill with analysis tools and software, and content knowledge in early childhood development, education, policy, and/or advocacy. While this role will provide oversight and mentorship, it will not include direct supervision. The Data Scientist will work independently and with minimal supervision under the direction of the Director of the RAPID Survey Project and in collaboration with RAPID Program Managers. Your primary responsibilities will include: * Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards). * Guide, coach and mentor a high performing team of analysts. * Identify, leverage and partner with external stakeholders. * Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. * Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor compliance with processes that ensure high-quality data. * Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. * Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. * Serve as a resource for non-routine inquiries such as requests for statistics or surveys. * Provide documentation based on audit and reporting criteria to investigators and research staff. To be successful in this position, you will bring: * Bachelor's degree and five years of relevant experience or combination of education and relevant experience. * Experience in a quantitative discipline such as economics, finance, statistics or engineering. * Ability to direct the work of others, for jobs requiring supervision. * Relevant subject matter knowledge. * Substantial experience with MS Office and analytical programs. * Excellent writing and analytical skills. * Ability to prioritize workload. Preferred Education & Experience: * Doctoral degree or equivalent in relevant field * Content expertise in early childhood, education, policy, and/or advocacy * Advanced methodological, statistical, and analytic skills * Experience with survey research * Ability to coach and mentor analysts * Ability to work in a matrixed team environment, collaborating with peers with leadership responsibilities, senior leadership and junior team members * Flexible and creative thinking about data analysis * Experience working with large data sets * Experience working with a geographically distributed team Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Physical Requirements*: * Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * Occasionally use a telephone. * Rarely writing by hand. The expected pay range for this position is $91,699 to $138,688 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: * Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. * A caring culture. We provide superb retirement plans, generous time-off, and family care resources. * A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. * Discovery and fun. Stroll through historic sculptures, trails, and museums. * Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! We pride ourselves in being a culture that encourages and empowers you. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. How to Apply: We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, you must submit a cover letter and résumé along with your online application. * Finalist must successfully complete a background check prior to working at Stanford University. * This is a fixed-term position with an end date of one year and is renewable based on performance and funding * Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. Additional Information * Schedule: Full-time * Job Code: 4753 * Employee Status: Fixed-Term * Grade: K * Requisition ID: 107547 * Work Arrangement : Remote Eligible

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

The Data Scientist will contribute to the development of AI and Generative AI (GenAI) models and workflows tailored for the healthcare domain. This role will work on building solutions that address real-world challenges. This role offers an exciting opportunity to apply knowledge of GenAI, machine learning, and healthcare-specific requirements while collaborating with a multidisciplinary team of experts. Develop workflows to enhance the efficiency and accuracy of note-taking in healthcare settings. Collaborate with data engineers, product teams, and clinical experts to ensure solutions align with healthcare workflows and standards. Address healthcare-specific challenges such as HIPAA compliance, medical terminology integration, and adherence to standards like ICD, CPT, and HL7/FHIR. Stay updated with the latest advancements in GenAI, NLP, computer vision, and healthcare AI technologies. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: Experience working with multiple GenAI models, including open-source. Experience with natural language processing (NLP) and computer vision techniques. Experience in data preprocessing and model deployment. Knowledge, Skills & Abilities: Knowledge of: Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models). Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR). Knowledge of voice recognition and transcription technologies is a plus. Skill in: Strong programming skills in Python or similar languages. Strong problem-solving skills and a growth mindset. Ability to: Eagerness to learn and adapt in a fast-paced, mission-driven environment. The company has reviewed this to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

The Data Scientist will provide meaningful insight on how to improve our current business operations. Principle Accountabilities/Responsibilities Work closely with domain experts and SME's to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features Communicate model performance & results & tradeoffs to stake holders Determine requirements that will be used to train and evolve deep learning models and algorithms Visualize information and develop engaging dashboards on the results of data analysis. Build reports and advanced dashboards to tell stories with the data. Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. Proactively mine data to identify trends and patterns and generate insights for business units and management. Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. 5+ years of experience using large scale data to solve problems and answer questions. Prior experience in the Manufacturing Industry. Skills/Competencies Requirements Experience in building and deploying predictive models and scalable data pipelines Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. Strong problem solving and decision-making skills Ability to explain deep technical information to non-technical parties Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. Strong understanding of data governance/management concepts and practices. Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. Proven history managing stakeholder relationships. Business case development. First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status.

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers, 2) led by advantaged underwriting in insurance, 3) to protect the whole home. As a leader in the home services software-as-a-service (“SaaS”) space, we've built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies. In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED. Job Title: Data Scientist, Insurance Risk and Pricing Location: United States Workplace Type: Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Scientist, Insurance Risk and Pricing We are looking for a results-driven Data Scientist to join our high-impact team focused on transforming the insurance and home services industries. You will play a key role in leveraging Porch's unique property data to drive innovation, improve risk understanding, and optimize pricing strategies. This role is ideal for someone who thrives in a fast-paced, data-rich environment and is passionate about delivering measurable business value. What You Will Do As A Data Scientist, Insurance Risk and Pricing Model Development: Build and deploy advanced predictive models that support pricing, retention, and customer satisfaction initiatives. Data Exploration & Analysis: Conduct deep-dive analyses to uncover insights that inform strategic decisions across the business. Cross-Functional Collaboration: Work closely with product, engineering, and business teams to scope projects and integrate data science solutions into operational workflows. Innovation & Impact: Contribute to a culture of experimentation and continuous improvement, stay up to date on new technologies and innovation, identifying new opportunities to apply data science for competitive advantage. What You Will Bring As A Data Scientist, Insurance Risk and Pricing At least 5 years of experience in data science Proficiency in Python and R, and strong SQL skills. Experience building and deploying in high traffic environments Solid understanding of statistical modeling, machine learning, and data wrangling. Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, GCP). Strong communication skills and the ability to translate complex data into actionable insights. Preferred Experience in insurance pricing and risk quantification Exposure to experimentation frameworks and causal inference methods. Actuarial Certifications ACAS and/or FCAS The application window for this position is anticipated to close in 2 weeks (10 business days) from 10/23/2025 Please know this may change based on business and interviewing needs. At this time, Porch Group does not consider applicants from the following states or jurisdictions for Remote positions: Alaska, Delaware, Hawaii, Iowa, Maine, Mississippi, Montana, New Hampshire, West Virginia, or the District of Columbia. What You Will Get As A Porch Group Team Member Pay Range*: $138,800 - $194,300 *Please know your actual pay at Porch will reflect a number of factors among which are your work experience and skillsets, job-related knowledge, alignment with market and our Porch employees, as well as your geographic location. Additionally, you will be eligible to receive long-term incentive awards, subject to program guidelines and approvals. Our benefits package will provide you with comprehensive coverage for your health, life, and financial wellbeing. Our traditional healthcare benefits include three (3) Medical plan options, two (2) Dental plan options, and a Vision plan from which to choose. Critical Illness, Hospital Indemnity and Accident plans are offered on a voluntary basis. We offer pre-tax savings options including a partially employer funded Health Savings Account and employee Flexible Savings Accounts including healthcare, dependent care, and transportation savings options. We provide company paid Basic Life and AD&D, Short and Long-Term Disability benefits. We also offer Voluntary Life and AD&D plans. Both traditional and Roth 401(k) plans are available with a discretionary employer match. Supportlinc is part of our employer paid wellbeing program and provides employees and their families access to on demand guided meditation and mindfulness exercises, mental health coaching, clinical care and online access to confidential resources including will preparation. LifeBalance is a free resource to employees and their families for year-round discounts on things like gym memberships, travel, appliances, movies, pet insurance and more. Our wellness programs include flexible paid vacation, company-paid holidays of typically nine per year, paid sick time, paid parental leave, identity theft program, travel assistance, and fitness and other discounts programs. #LI-NH1 What's next? Submit your application and our Porch Group Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have! Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work. Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances. Porch Group is an E-Verify employer. E-Verify is a web-based system that allows an employer to determine an employee's eligibility to work in the US using information reported on an employee's Form I-9. The E-Verify system confirms eligibility with both the Social Security Administration (SSA) and Department of Homeland Security (DHS). For more information, please go to the USCIS E-Verify website.

Our client is seeking a Data Scientists to perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches. Key Responsibilities: May work with knowledge architects, informaticians and clinicians at client, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required. May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide consultative services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist. Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches. Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning. Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome. Leads the interpretation of data analysis and writing reports. Position Requirements: The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills. Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g., machine learning, statistical packages, modeling, etc.) required. Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Strong interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Strong time management skills are required. Requires strong analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills, and a commitment to customer service. Experience with data modeling and data exploration tools. Preferred Skill: Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance. Education Requirements: Bachelor's degree in relevant fields such as engineering, mathematics, computer science, or health science. Preferred education - PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field with three (3) years of experience. Additional Information: Fully Remote W2 Candidates Only Who We Are We are a software company that strives to build relationships through the delivery of software and solutions. Agile software development is at the heart of "how we work", which allows us to bring people together for strong collaboration and problem solving. What We Do We provide enterprise-level agile coaching and development services. The Da Vinci Agile Coaching model is built on four pillars that ensure successful adoption and scale across an organization. The enterprise framework we have built supports this foundation through recognition of, and integration with, legacy processes. We passionately believe "how we work" is the intangible our developers demonstrate for our clients every day. Our high-performing team members provide leadership and chemistry on your teams. We provide architects, developers and testers that enjoy accountability, team success and delivering meaningful products.

Sony Corporation of America, located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: **************** Position Summary Sony is seeking an Associate Data Scientist, Risk Analytics to join Sony's Corporate Information Security Division. This position will report to the Data Scientist II and be a part of the team responsible for designing, implementing, and maintaining a Global Information Security Risk Analytics platform used to provide information security risk intelligence to Senior Leadership and monitor the confidentiality, integrity, and availability of Sony assets. You'll work across the global information security team to understand the unique problems and constraints, then dig into the data-rich environment to find the pieces of the puzzle. You'll write scripts, build predictive analytics, automate processes, apply machine learning techniques, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help leadership make informed decisions. Responsibilities: Collaborate with cross-functional teams to understand business objectives and contribute to framing data science problems Design and evaluate models to mathematically express and solve defined problems with limited precedent. Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. Analyze large amounts of data/information to discover and articulate trends and patterns Build predictive models and machine-learning algorithms Develop conclusive insights using statistical methods. Contribute to data visualization and storytelling to present findings and recommendations to stakeholders Assist in translating analytical results into actionable recommendations Contribute to documentation and knowledge sharing across the team Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above Qualifications: 1-2 years of experience in data science, analytics, or a related field (internships or academic projects count) Bachelor's degree in Computer Science, Statistics, Data Analysis, Mathematics, or a related field Proficiency with relational database (SQL) and programming/scripting (Python or R) Solid applied statistics skills, such as distributions, statistical testing, regression, etc. Experience in machine learning, statistical modelling, and predictive analytics Experience in data wrangling, data visualization, and exploratory data analysis (EDA) Excellent problem-solving, analytical, and critical thinking skills Experience in information security or IT is preferred Experience with data engineering is preferred Experience with data visualization tools and dashboard development is preferred Motivated and self-directed In addition to competitive pay and benefits, we offer an environment and culture that promotes Diversity, Equity, and Inclusion. We are committed to creating an inclusive employee experience for you to thrive as part of Sony's purpose to “fill the world with emotion through the power of creativity and technology”. Benefits: SCA offers benefits-eligible employees (generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family's physical, emotional, and financial well-being. What we offer you: Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA) Employee assistance plan and comprehensive behavioral health benefits Fertility benefits, including surrogacy, and adoption assistance programs Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance Short-term & long-term disability plans Paid parental and caregiver leave 401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting Education assistance and student loan programs Other Programs: Flexible Work Arrangements, including remote and hybrid work schedules Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release), and a winter break between Christmas and New Year's Day (based on business needs) Referral bonuses (subject to eligibility) Matching gift program A wide variety of employee business resource groups (EBRGs) Special discounts on Sony products, offered exclusively to Sony employees Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions) Annual incentive bonus The anticipated annual base salary for this position is $85,000 to $105,000. In addition to the annual base salary, this role has an annual bonus target of 7%. This range does not include any other compensation components or other benefits that an individual may be eligible for. 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. #LI-SC1 All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at ******************* or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: ***************** Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact ******************* before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We are looking for a Staff Data Scientist for our Engagement Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks. Lead projects on: Tradeoffs between organic engagement and advertising. Deep dives on how engagement metrics impact monetization and retention. Understanding and predicting the value of core behaviors (e.g., saving, repinning, board creation) as they relate to downstream business outcomes. Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries. Design and productionize robust, scalable ML and evaluation frameworks-spanning forecasting, recommendation, and causal inference. Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact. Collaborate across disciplines-Product, Engineering, Research, Business, and Design-translating complex data questions into actionable business insights. Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence. What we're looking for 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics. Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark. Strong product intuition-ability to scope, question, and design the right solutions for ill-defined, high-impact business problems. Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes. Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences. Track record mentoring and growing data talent at the staff/senior IC level. Cross-functional leadership and the ability to align competing interests towards shared goals. Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences). In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$163,064-$335,720 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.