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Company Background: Established in 1928, Genuine Parts Company is a leading global service organization specializing in the distribution of automotive and industrial replacement parts. Our Automotive Parts Group operates across the U.S., Canada, Mexico, Australasia, France, the U.K., Ireland, Germany, Poland, the Netherlands, Belgium, Spain and Portugal, while our Industrial Parts Group serves customers in the U.S., Canada, Mexico and Australasia. We keep the world moving with a vast network of over 10,700 locations spanning 17 countries supported by more than 60,000 teammates. Position Purpose: Seeking world-class talent to join the world's leading distributor of automotive and industrial replacement parts and value-added services operating 5,500+ locations and servicing more than 20,000 locations in the U.S and Canada. Specifically, this role will function as the Senior Product Manager in a team working to build next generation product and fitment catalog data management system. Working with this highly talented team, you'll play a key role to build and run one of the world's largest automotive and industrial replacement parts operations. If you are passionate and a seasoned product leader yearning to transform experiences for millions of customers and thousands of passionate associates, we are looking for you to join GPC leadership team as a Senior Product Manager. The Senior Product Manager is responsible for finding and delivering business value to drive sales, improve efficiency, and improve customer satisfaction through the exploration of problems, solutions and the production of quality products. Within their designated enterprise product, the Senior Product Manager focuses on delivering value by leading the strategic vision and product roadmap across the customer journey and ensuring all products within their portfolio are aligned to the vision. The Senior Product Manager identifies and connects interdependencies with other products within the customer journey. They support business reviews, communicate the product vision, and present across all levels of the organization. This Senior Product Manager role will oversee, and direct creation of products leveraging data science to improve Master Data Management in the Product & Catalog domain and in the Product Search domain. Additionally they will be a key stakeholder in the expansion of data science across GPC Technology. They will also orchestrate work addressing customer pain points across the GPC enterprise, and lead teams in the definition, discovery, design, development, and delivery of end-to-end service and experience capabilities leveraging technology, operations, and process. Responsibilities: Strategic Collaborate with engineering to translate business strategy into product strategy Own and maintain product opportunity and delivery roadmaps Maintain knowledge of competitive landscape and technology innovations Drive growth & efficiency for the business by applying domain expertise to provide thought leadership and translate vision into action Ideate and discover where products & technology can drive business value Execution Define and communicate value propositions, OKRs, success metrics, and outcomes Develop deep knowledge of business processes for the domain Drive prioritization of product capabilities Collaborate and drive cross-domain prioritization and sequencing of activities Create/document/track KPIs to measure relevant business goals for the domain Stakeholder Management Represent domain during enterprise planning and discovery Manage stakeholder expectations to ensure scoping, backlog and delivery aligns with product strategy Provide regular updates to product roadmap and outcomes Tactical Represent business throughout technology development process Document requirements (functional and non-functional) via epics, features and user stories Maintain and prioritize product backlog Track releases and communicate delivery roadmap Plan and conduct user showcases and acceptance testing Work with agile practitioners and engineering to improve the overall delivery lifecycle Other duties as assigned Location: GPC has two work locations to choose from, Duluth or Atlanta office. We offer a Flexible Work Policy that permits eligible employees to work a hybrid remote schedule. Desired Qualifications & Experiences: Degree in Computer Science or Engineering fields or equivalent years of experience preferred 10 years' experience in product and/or experience management. 10 years' experience in scrum/agile development methodology. 10 years' experience participating in product backlog prioritization and grooming/refinement 10 years' product ownership and helping drive road-mapping, planning and delivery in an agile environment. 5 years' experience in designing & building data science (ML-Model or AI Based) solutions 3 years' experience designing and setting up experimentation, A/B tests and measure the key KPIs based on the optimization objectives. Experience designing Catalog/Product Data Management and Syndication solutions using MDM Platforms equivalent to or similar to STIBO STEP Experience designing cataloging data management/distribution processes and solutions for the Automotive Aftermarkets domain is a plus. Knowledge of Automotive Aftermarket Industry Catalog Exchange Standards like ACES and PIES is a plus Experience in defining strategy and road map for exposing the product catalog, vehicle, location platform services in the form of necessary APIs and feeds required for the clients and partners. Demonstrated experience with analytical and critical thinking skills; ability to use data to break down complex problems and formulate plans. Experience supporting, mentoring and managing product owners is a plus Experience in the B2B and retail business is a plus Mastery of identifying goals, metrics and analytics to measure product value Proficiency in creating, prioritizing and accepting user stories Proficiency in conducting user research and testing to understand needs Proficiency in conducting competitive research and analysis Proficiency in guiding more junior team members through Product Management fundamentals in a professional setting Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest! GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

Job Description: We are seeking a motivated and detail-oriented Data Science Intern to join our team. In this role, you will work closely with other analytics professionals to support data-driven decision-making across the organization. You will gain hands-on experience with data collection, cleaning, analysis, and visualization, and contribute to real-world projects that drive business impact. Key Responsibilities: Assist in data preprocessing, feature engineering, and exploratory data analysis. Support the development and evaluation of machine learning models. Create visualizations and dashboards to communicate insights. Collaborate with cross-functional teams to understand data needs and deliver actionable solutions. Document methodologies and present findings to stakeholders. Qualifications: Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Familiarity with Python, R, SQL, and data analysis libraries (e.g., pandas, scikit-learn, matplotlib). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with data platforms (e.g., SQL, PostgreSQL) or data visualization tools (e.g., Tableau, Qlik). Knowledge of data science modeling techniques. Knowledge of machine learning concepts and statistical modeling. Base Pay Range: Hourly salary range offered for this position is estimated to be $20.00 - $25.00. However, the actual pay range depends on each candidate's experience, location, and qualifications. Not meeting every single requirement? No problem! We are looking for candidates who possess unique skills that set them apart from the rest. If you're enthusiastic about this role and believe you have the skills and abilities that would make you successful, don't hesitate to apply today! Benefits of working at Flexential: Medical, Telehealth, Dental and Vision 401(k) Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) Life and AD&D Short Term and Long-Term disability Flex Paid Time Off (PTO) Leave of Absence Employee Assistance Program Wellness Program Rewards and Recognition Program Benefits are subject to change at the Company's discretion. EEO Statement: Flexential is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Benefits: 401(k) 401(k) matching Bonus based on performance Company parties Competitive salary Dental insurance Employee discounts Health insurance Opportunity for advancement Paid time off Parental leave Training & development Vision insurance Wellness resources Job Description: We are looking for a strategic and data-driven thinker to join our dynamic team at a rapidly growing moving and junk hauling company. This pivotal role will leverage data to drive smarter decision-making across various functions, including marketing, operations, pricing, and customer experience. You will lead a small team, producing work yourself while enhancing the team's skills and productivity. The ideal candidate is a curious problem-solver with strong analytical skills, capable of transforming raw data into actionable insights. You will collaborate closely with senior leadership to define key metrics, build predictive models, and identify opportunities for growth and efficiency. Key Responsibilities: Analyze large datasets to uncover trends, patterns, and business opportunities. Develop predictive models to enhance forecasting, pricing, and resource allocation. Collaborate with marketing, sales, operations, product, and finance teams to support data-driven decisions. Create dashboards and reporting tools to monitor key performance indicators (KPIs) across the business. Implement data infrastructure and best practices to ensure scalability. What You'll Do: Strategy & Planning: Partner with stakeholders to define business and system requirements for business intelligence (BI) and analytics. Collaborate with IT on data architecture and data warehousing strategies. Optimize data resource utilization and streamline reporting, dashboards, and analytics. Develop staffing and training plans, leveraging automation and offshore resources. Drive adoption of BI programs and define key success metrics. Implement best practices for high-availability issue resolution and compliance. Operations: Develop short- and long-term BI strategies to align with evolving business needs. Foster a data-driven culture through self-service analytics and data literacy programs. Research and recommend emerging data technologies and innovations. Ensure alignment of change management practices with company policies. Maintain executive and cross-functional communication to enhance data-driven decision-making. Recruit, develop, and retain top talent for BI and analytics initiatives as needed What You Bring: Experience: University degree in data science, computer science, information systems, or business administration, with 5+ years of related work experience, including 2+ years in a senior data leadership role. Experience with forecasting models and methodologies. Experience with AI. Proven experience in BI/data warehousing. Experience with data analytics platforms such as Tableau and Redshift. Proven experience in building and managing virtual teams. Proven experience developing business cases, departmental budgets, forecasting, and predictive modeling. Home service experience, marketing data, and call center data experience preferred. Skills: Highly proficient in data visualization tools (e.g., Tableau, Power BI). Strong statistical knowledge and experience with machine learning models. Strong understanding of project management principles and experience using project management tools. Excellent written, oral, and interpersonal communication skills. Proficient in SQL, Python (preferred). Ability to communicate complex data concepts in business-friendly language Flexible work from home options available.

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

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Quality at UnitedHealth Group means striving for excellence in everything we do in order to help us achieve our Mission. Simply put, it's in our DNA and why we're in business - to help people. Our Mission serves as our why; our Values unite us around how we will achieve it. Because when we follow our Mission and live our Values, we deliver Quality. Join Optum Health's Financial Data Management team as a Manager Data Science and lead a high-impact team at the intersection of advanced analytics and financial strategy. In this leadership role, you will guide a team of data scientists and data analysts in developing predictive and prescriptive models that transform complex, structured and unstructured data into actionable insights. Leveraging your expertise in statistics, machine learning, and data modeling, you'll drive innovation that supports the growth and operational excellence of our Finance & Accounting organization. You'll collaborate with stakeholders across finance, technology, and business operations to solve critical challenges and deliver scalable, data-driven solutions. If you're passionate about rolling up your sleeves and leading a team that turns data into strategic advantage, this is your opportunity to make a measurable impact. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: Leadership and Mentorship Lead and manage a team of professional data scientists, providing direction, coaching, and performance oversight Set team direction and adapt departmental plans to meet evolving business and operational priorities Exploratory Data Analysis Perform exploratory data analysis on unstructured, diverse datasets typically measured in gigabytes or larger Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries Predictive and Prescriptive Modeling Design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data Use analytics and statistical software such as SQL, R, Python, Hadoop, and others to perform analysis and interpret data Prototype Development and Product Improvement Develop innovative solutions driven by exploratory data analysis Lead prototype development and contribute to product improvement Complex Problem Solving Resolve problems and provide guidance to team members on complex issues Perform complex conceptual analyses and provide recommendations for improvement Stakeholder Collaboration Partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids, and business case analysis to support the organization Delivery of Analytics Produce and manage the delivery of activity and value analytics to external stakeholders and clients Leverage subject matter expert views in the design of analytics and algorithms Forecasting and Planning Forecast and plan resource requirements Recommend deviations from standards Customer Needs Anticipation Anticipate customer needs and proactively develop solutions to meet them Serve as a key resource on complex and/or critical issues You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 4+ years of managerial experience in data science, business intelligence, data analytics, or similar field Experience setting team direction and adapting plans to meet business and operational challenges and goals Experience performing exploratory data analysis on unstructured, diverse datasets Experience explaining what the data shows and clearly communicating recommendations to leadership Understand accounting controls, processes, and procedures Expertise in programming languages like Python, R, Hadoop and SQL On the job proficiency in building predictive models and forecasts Professional proficiency in applying statistical methods and artificial intelligence / machine learning techniques to analyze data and develop predictive models Proven advanced analytic, logical thinking, and problem-solving skills Preferred Qualifications: Experience influencing forecasting and planning activities across departments Background in financial or healthcare analytics environments Familiarity with cloud-based data platforms (e.g., Snowflake, Databricks, Azure) Track record of delivering scalable, high-impact data science solutions Demonstrated ability to make product, service, or process decisions that impact multiple teams or customer groups All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy The salary range for this role is $89,800 to $176,700 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you'll find a far-reaching choice of benefits and incentives. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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

Job Family: Program Analysis (PAN) Travel Required: Up to 10% Clearance Required: Active Top Secret (TS) What You Will Do: Capture of Data and Information: Use various software applications to best capture and report on desired data elements and information related to criminal activity and client operational accomplishments, including but not limited to cases filed, defendants charged and convicted, trials and outcomes, sentences to imprisonment, monetary sanctions, and estimated reductions in illegal activity as a result of criminal enforcement actions. Design input data collection forms to facilitate and standardize data collection. Review and assesses new software applications to improve efficiency and functionality of case tracking and reporting activities. Convert data for inclusion into databases, spreadsheets, and charting or graphical software presentation programs. Designs and produce output reports, summary tables, graphs and charts from database information. Research and Analysis: o Conduct special studies, research, and evaluation activities to assess and inform managers. Development of Presentations: o Design and produce PowerPoint and other graphics presentations for use by managers. Statistical Work: o Serve as technical expert on federal, state and local crime and caseload statistics, as well as other criminal justice data and policy issues. o Provide assistance to senior analysts on quantitative analysis and research methodologies regarding ongoing research studies, data analysis and program evaluations. o Analyze and interpret data to identify significant findings and trends using statistical or analytical software programs such as SAS, SPSS, Microsoft Access, and/or Excel. What You Will Need: An ACTIVE and MAINTAINED TOP SECRET Federal or DoD security clearance Bachelors degree FIVE (5) years' experience in statistics and data science. Experience in utilizing various types of software, such as Government- developed software, Microsoft Office suite including Word, Excel, and Power Point, conducting research and analysis of data, and reporting of results. Ability to plan and organize work effectively. Knowledge of statistics and quantitative analysis. Ability to communicate effectively, both orally and in writing. Ability to work with individuals and groups at all organizational levels. What Would Be Nice To Have: Advanced Degree Experience working in Law Enforcement or government setting Ability to commute onsite daily The annual salary range for this position is $75,800.00-$113,600.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

This job is posted in multiple locations. When not at a client site, consultants work from their home office. Relocation is not required. Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. Come join us as a Data Science Senior Consultant, and in this role, you will deliver creative business solutions to our market-leading clients in the life sciences, consumer products, and retail industries. Together, we can find the answers to our clients' most challenging business problems through a combination of our industry expertise, business process knowledge, and consulting excellence. What You’ll Do As a Data Science Senior Consultant at Clarkston, you will: Conduct exploratory analysis, produce descriptive statistics and explain phenomena based on data  Develop statistical and machine learning models for POC and production-ready applications  Drive ideation, execution of experiments, and in-market tests   Provide coaching and mentorship to junior analysts    How You’ll Grow Beyond your day-to-day responsibilities, throughout your career at Clarkston you will: Have the support and mentorship of your Clarkston colleagues and leaders Expand your existing skill set with internal and external professional development opportunities Requirements What We’re Looking For: At least 3 years of data science experience, preferably in a consulting environment  Experience drawing insights from large data sets and manipulating data using a variety of methods and tools  Solid base understanding of statistical techniques around correlation, regression, outlier detection, and significance  Strong experience building end-to-end predictive models, including parametric and non-parametric  Highly skilled in utilizing LLM (Large Language Models) tools  Experience using a variety of machine learning techniques for supervised and unsupervised learning that highlights the real-world advantages/drawbacks, including classification, regression, time series forecasting, clustering, and other use cases  Experience optimizing, testing, and documenting results of machine learning models  Knowledge of common machine learning pitfalls and how to avoid them, including normalization, feature selection, optimization, and validation  Experience querying databases and strong familiarity with SQL and Python  Knowledge of tasks access production environment and maintain results: analyzing model drift, version control, security strategy, monitoring and alerts  Understanding of the resource landscape with the ability to research and form opinions around the best vendor solutions for our clients  Ability to share your technical solutions and product ideas with the team through design review, pair programming, code/model reviews, and tech conversations  Masters or PhD in Math, Statistics, Engineering, or other relevant field for data science applications  Travel Requirement Travel is an integral part of this role and is estimated to average 30-50%. This may vary based upon client and project needs. When not traveling, consultants work from their home office. Relocation is not required. More About Clarkston Founded in 1991, Clarkston Consulting delivers technology and management solutions to market leaders in the life sciences, consumer products, and retail industries. At Clarkston, we cultivate success - for our clients, for our people, and for our firm. We utilize a team approach leveraging our collective expertise and industry knowledge to solve our clients’ business challenges. Benefits Our benefits include: Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more) 401k with company contributions Paid vacation, personal days, holidays, and sick leave Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support) Life and Disability Insurance Training and Professional Development investments, Tuition Assistance, and more Visit Careers at Clarkston to learn more about our culture, benefits, and opportunities. Clarkston Consulting is an equal opportunity employer. We are committed to ensuring our firm is rich in diverse skills, competencies, strengths, personalities, and culture. We foster an inclusive environment that embraces the unique contributions of our people to further our purpose. Please visit Diversity @ Clarkston to learn more about our diversity initiatives.

About Palm Venture Studios Palm Venture Studios (Palm) is a single-family-office-backed venture studio with a national footprint, headquartered in Greenwich CT. As a venture studio we both acquire early stage distressed companies or assets and seed new startup companies that will be both good businesses and create positive impact for society. We are a team of entrepreneurs and operators that partner with mission-driven founders to give their companies rescue capital and expertise, and build new companies from scratch. About Gentoro Gentoro is an innovation-driven B2B software startup dedicated to empowering enterprises to harness the full potential of Generative AI. Our mission is to enable businesses to effortlessly develop, deploy, and manage AI Agents with cutting-edge solutions that interact with enterprise ecosystems, safely and securely. As the creators of Gentoro, the groundbreaking Model Context Protocol (MCP)-based LLM-to-Enterprise Bridge, we are redefining how AI Agents integrate into enterprise ecosystems. By harnessing the latest advancements in Generative AI, our innovative no-code solution seamlessly, safely, and securely extends the transformative power of Large Language Models (LLMs) to enterprises. If you’re passionate about the transformative power of Generative AI to solve real-world business challenges, thrive in a collaborative and fast-paced environment, and aspire to be part of a category leading product, we want you on our team! Join us as a foundational engineer and play a pivotal role in creating cutting-edge AI-powered products for the future. Role Overview  As the Chief AI & Data Scientist, you will lead the strategy, development, and deployment of our AI and data science initiatives. You will work closely with the rest of the engineering team to ensure our AI solutions deliver measurable value to our customers and competitive advantages for Gentoro. This is a leadership role that combines hands-on expertise with strategic oversight, driving innovation in generative AI and machine learning.    Responsibilities:  Strategic Leadership: Define and execute the AI and data strategy aligned with the company's vision and goals.   R&D Oversight: Lead research and development in generative AI, machine learning, NLP, and data analytics to create state-of-the-art solutions.   Product Innovation: Collaborate with product teams to identify and implement AI-driven features and capabilities.   Enterprise Integration: Drive initiatives to integrate AI solutions seamlessly with enterprise systems and complimentary vendor solutions.   Thought Leadership: Represent the company at industry conferences, contribute to publications, and foster partnerships with academic and research institutions.  Requirements Education: Ph.D. or Masters in Computer Science, AI, Data Science, or related field.   5 + years of professional experience in AI or data science roles in the industry. Experience with enterprise AI development, deployments and integrations technologies  Proficiency in B2B software development in Java, Python, and related technologies Familiarity with LangChain, LamaIndexing or similar AI Agent Development frameworks.   Working knowledge of MLOps, data engineering, and cloud platforms (AWS, GCP, Azure).    Soft Skills: Excellent communication, problem-solving, and decision-making abilities.   Why Join Us? Be a Pioneer: Join us at the ground level of a well positioned, visionary startup. Be part of a passionate, driven team shaping the future of Generative AI and leaving a lasting impact on the industry.   Shape the Future with CuttingEdge Tech: Work on revolutionary technology, pushing the boundaries of innovation and creativity.  Competitive Compensation with a Stake in Success: Enjoy a competitive salary paired with earlystage equity, giving you a direct stake in the company’s success and a chance to grow alongside us.   Work Your Way: Thrive in a flexible work environment tailored to your needs—choose between remote, hybrid, or onsite arrangements that work best for you.   Invest in Yourself: Unlock opportunities for professional growth, continuous learning, and career development in a supportive, innovation-focused culture.  Futureproof your career by building expertise in one of the most transformative fields of our time.   Join us to create, innovate, and grow in a place where your ideas truly matter.

Worth is seeking an experienced and visionary Director of Data Science to lead the development and deployment of machine learning and statistical modeling solutions that drive business impact across our organization. This individual will guide a team of data scientists and partner with cross-functional stakeholders to build scalable, production-grade models for both analytical and product applications. The ideal candidate brings a strong foundation in predictive modeling, statistical analysis, and machine learning, with proven leadership experience in building data science teams and influencing strategic decisions. Expertise in areas such as NLP, computer vision, or reinforcement learning is highly desirable. This role requires exceptional communication skills and the ability to distill complex insights into clear, actionable recommendations for executive audiences. Responsibilities Lead, mentor, and scale a high-performing team of data scientists while fostering a culture of innovation, collaboration, and continuous learning. Oversee the end-to-end development of machine learning models—design, training, validation, and deployment—within cloud-based production environments. Partner with product, engineering, and business teams to identify opportunities for data science solutions, define success metrics, and deliver measurable impact. Drive the integration of large-scale data systems and pipelines to power intelligent, adaptive models that reflect changing customer, market, and business dynamics. Ensure rigorous model monitoring, governance, and retraining protocols to maintain accuracy, fairness, and compliance. Communicate technical results and strategic insights clearly and persuasively to senior leadership and non-technical stakeholders. Champion the adoption of advanced analytics tools, frameworks, and best practices across the company. Requirements Bachelor’s degree and 8+ years of professional experience, or Master’s degree and 6+ years, or PhD and 4+ years, in a quantitative field such as Computer Science, Statistics, Applied Mathematics, or Engineering. Proven leadership experience managing data science or machine learning teams in fast-paced, agile environments. Deep expertise in statistical modeling and machine learning techniques (e.g., regression, time series, clustering, ensemble methods, simulation, NLP, deep learning, etc.). Hands-on proficiency in Python and SQL; familiarity with R or other languages is a plus. Practical experience with ML libraries and frameworks such as Scikit-learn, TensorFlow, Keras, PyTorch, Statsmodels, NumPy, and SciPy. Strong understanding of data architecture and MLOps practices in cloud environments such as AWS, Azure, or GCP. Excellent data storytelling and executive communication skills; confident in building and delivering compelling visual presentations (e.g., Tableau, PowerBI). Deep understanding of Agile methodologies such as Scrum or Kanban. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

Job Description Adjunct Professor - Data Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach undergraduate and graduate courses in Data Science. We are dedicated to fostering educational excellence and preparing students for success in their fields. Position Summary: Adjunct professors are responsible for delivering course materials in a learner-centered environment, engaging students in the learning process, and supporting their academic success. Responsibilities include developing and teaching a range of courses, from introductory undergraduate classes to advanced graduate-level courses in Data Science. Key Responsibilities: Prepare syllabi and develop curricula to meet course requirements and student learning outcomes. Deliver engaging and effective instruction. Provide timely and constructive feedback on assignments and exams. Submit midterm and final grades, attendance records, and other required reports. Communicate consistently with students, faculty, and administrators. Required Qualifications: Master’s degree in Data Science, Computer Science, or a related field. Teaching experience in a relevant subject area. Preferred Qualifications: PhD in Data Science or a related field. Experience teaching diverse student populations. Familiarity with online and remote teaching tools. Application Process: To apply, please submit a letter of interest and resume. Applications will be reviewed on a rolling basis until the positions are filled. Wentworth Institute of Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Inclusive Excellence at Wentworth Wentworth Institute of Technology is committed to diversity, equity, and inclusion in all University programs and activities. The University does not discriminate based on race, color, national origin, sex, sexual orientation, religion, disability, age, genetic information, gender identity, veteran status or any other category protected by law. All qualified applicants will receive consideration. To find out more about the Wentworth’s commitment to Diversity, Equity and Inclusion, please visit the website https://wit.edu/about/diversity . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu .

About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies.   Sony Music Entertainment (SME) is seeking a Director of Data Science to join the Data Science & Analytics team . As a member of this team, you will provide business-focused machine learning and experimentation tools and services to our teammates throughout Sony Music. In this role, you will be at the forefront of SME’s efforts to combat streaming fraud. You will develop and implement advanced strategies to detect and prevent fraudulent activities, leveraging your expertise in machine learning and anomaly detection. We are looking for a candidate who is passionate about music and technology and has a strong background in data science. What you'll do: Lead and develop SME’s global content protection program to prevent streaming fraud. Coordinate with commercial partners, vendors, and industry bodies to implement best practice solutions for tackling fraud and intellectual property-related issues. Evaluate and research technologies incorporating machine learning, artificial intelligence, and automated content recognition. Research and develop predictive models, statistical methods, and machine learning algorithms to solve business problems. Prepare and analyze large datasets to identify patterns, trends, and insights to inform business decisions. Communicate effectively with cross-functional teams, including creative, business, legal, and engineering-focused teammates, to support business objectives. Deliver actionable insights to stakeholders and senior leadership to support decision-making processes. Who you are: Must possess B.S. in Computer Science, Mathematics, or related field. A master’s degree is preferred. Minimum of 5+ years of experience working in machine learning, data analysis, or a related field. Proven experience in fraud detection. Knowledgeable about artificial intelligence. Proficiency in modern programming languages such as Python and Java. Possess strong analytical and problem-solving skills. Maintain a positive outlook and eagerness to tackle complex challenges What we give you: You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day    A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best   An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching   Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans   Investment in your professional growth and development enabling you to thrive in our vibrant community.    The space to accelerate progress, positively disrupt, and create what happens next    Time off for a winter recess Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law. The anticipated annual base salary 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. New York Pay Range $160,000 — $180,000 USD

General Summary The Data Science Engineering Intern T will work on project opportunities that are designed to develop professional work knowledge and the abilities to support the efforts and projects that have global importance to the success of the business. The work involves transforming information that currently lives in disconnected PDFs, spreadsheets, and other various forms into a searchable, intelligent metadata system to streamline Engineering analysis, and enable new ways for data analysis. With direction from experienced engineers and access to a collaborative technical team, this role will also work on a portfolio project that showcases technical depth and UX to architect internal enterprise ML that will accelerate innovation cycles. Specific Duties and Responsibilities Under the supervision of an assigned engineer or experienced designee, the Data Science Engineering Intern T will: • Architect and build a smart, structured metadata layer that enables faster, more accurate access to quality control data. • Develop AI/ML tools that identify and tag important data attributes—such as supplier names, part numbers, spec limits, and inspection parameters. * • Assist in the creation of a metadata system and chat user interface that enables fast, intuitive querying and analysis via RAG (Retrieval Augmented Generation). * • Parse and clean structured and unstructured datasets work with AI tools such as OCR and intelligently convert spreadsheets to fit a single architecture. * • Resolve inconsistencies across data and build schemas for Vector DB.* • Adhere to the Company’s Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. * • Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. * • Ensure other members of the department follow the QMS, regulations, standards, and procedures. * • Perform other work-related duties as assigned. *Indicates an essential function of the role Required Qualifications Minimum education and experience • Junior or Senior pursuing a Bachelor's degree in Data Science, Computer Science or related field. Preferred qualifications • Experience with Python and common data libraries (pandas, NumPy, etc.). Experience with Azure ML is a plus. • Interest or background in machine learning, NLP, or ETL data modeling is a plus. • Comfortable working with large and unstructured datasets. • Self-starter with strong problem-solving skills. • Resourceful and security-driven development practices with strict adherence to industry data compliance. (HIPAA, SOC2, etc.) • Strong oral, written, and interpersonal communications skills are required. • High degree of accuracy and attention to detail. • Proficiency with MS Word, Excel, and other standard office tools. Location and Pay: Alameda, CA $21.00 to $33.00/hour Working Conditions • General office environment. • Willingness and ability to work on site. • Must be able to move between buildings and floors. • Must be able to remain stationary and use a computer or other standard office. equipment, such as a printer or copy machine, for an extensive period of time each day. • Must be able to read, prepare emails, and produce documents and spreadsheets. • Must be able to move within the office and access file cabinets or supplies, as needed. • Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. What We Offer •A collaborative teamwork environment where learning is constant, and performance is rewarded. •The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. •A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, an employee stock purchase plan, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra’s commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

The role: Join Curri to build and refine our data function with purpose and vision. As Director of Data Science and Engineering, you'll thoughtfully evolve our existing modern data infrastructure to drive strategic decision-making across the organization. This is an opportunity to make a significant impact at a growth-stage startup by translating complex data operations into actionable insights that directly influence our business trajectory. You'll lead a small, talented team (currently 3 members) while working closely with our executive leadership to shape how we leverage data. This role offers the autonomy to "make data your baby" while working within a collaborative environment that values both technical excellence and thoughtful implementation. What you will do: Lead and develop our existing data team to maximize their potential and impact Refine and optimize our Snowflake-based data infrastructure, building upon the foundation we've established with Snowflake, DBT, and Metabase Create platforms for operationalizing generative AI across the business, building on our successful implementations in support, driver optimization, and data summarization Partner with the executive team to translate data insights into strategic business decisions Collaborate closely with Engineering, Product, Finance, and other teams to ensure data solutions directly support company growth Identify and implement targeted infrastructure improvements that enhance system performance without unnecessary rebuilding Mentor team members to foster growth and continuity, resulting in strong retention and consistently high-quality work Share insights and perspectives at executive meetings and company All Hands, particularly around data strategy and AI initiatives What you need to have: 8+ years in data roles, including 3+ years in a leadership position, with a track record of impact in growth environments Deep expertise with Snowflake and modern data stack technologies (DBT, etc.) Strong understanding of AI/ML implementation and operationalization in business contexts Proven ability to build and mentor technical teams with limited resources Strategic mindset that balances long-term vision with practical, iterative execution Excellent communication skills to share complex concepts across all levels of the organization Experience working effectively across departments to deliver cohesive solutions Self-directed work style with a bias toward ownership and accountability What will make you stand out: Thoughtful Innovation: You identify which emerging tools and methods create genuine business value versus following trends Team Development: You create multiplier effects by combining technical excellence with people development Business Impact: You connect data initiatives to concrete business outcomes rather than pursuing technical initiatives in isolation Strategic Communication: You confidently share insights that shape company-wide decisions while maintaining independent perspective Cross-functional Influence: You maintain strong relationships across the organization while delivering high impact Iterative Approach: You value thoughtful evolution over disruptive change, building upon what works while strategically addressing gaps What is in it for you? A chance to make an immediate, meaningful impact at a fast-growing start-up. Significant responsibility from Day 1, with opportunities to shape our go-to-market strategy and directly contribute to company success. Work in a remote environment with a flexible schedule. We don’t micromanage and want to help you do great work. There is no work/life—there is only life, and we want your time at Curri to be life-giving and foster the best version of you. We care about family and your personal development and don't expect you to always be engaged with work. Competitive salary, along with health, dental, vision, 401K, and equity compensation. Who are we? We are Curri and our mission is to be the way the world delivers construction and industrial supplies. Curri provides on-demand, last-mile logistics for construction and adjacent industries with our nationwide fleet of cars, trucks, and flatbeds. Curri was founded in 2019 and was a part of the YC S19 Batch. Employees work out of our office in Ventura, CA, but the majority of our fast-growing start-up operates remotely, with over 100 employees spread across the United States. We're solving a massive, global problem of inefficiency in the construction industry. We imagine a world of efficient construction sites resulting in a net win for the entire world. Find out more at curri.com .

At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. About the Role We are seeking a visionary and hands-on Director of Data Science to lead our data science initiatives, drive innovation, and unlock the value of data to improve healthcare outcomes, operations, and strategic decision-making. This individual will oversee the development and deployment of advanced analytical models and machine learning solutions across multiple business units. A background in healthcare is strongly preferred, as a deep understanding of clinical, claims, or operational healthcare data will be critical to success. What you’ll do:  Strategic Leadership Define and execute the organization’s data science strategy aligned with business goals. Serve as a thought leader in AI/ML and advanced analytics, driving innovation and long-term value creation. Partner with stakeholders across clinical, operational, product, and technology teams to deliver impactful data solutions. Data Science Development Lead the design, development, and deployment of machine learning models and advanced analytics solutions. Champion the use of AI/ML in predictive modeling, natural language processing, and other healthcare use cases. Guide model validation, monitoring, and performance optimization practices. Team Management Build and manage a high-performing team of data scientists, ML engineers, and analysts. Provide mentorship, career development, and technical leadership to team members. Promote a culture of experimentation, continuous learning, and ethical AI use. Healthcare Data Application Apply data science to real-world healthcare challenges, such as patient risk stratification, readmission prediction, cost forecasting, and clinical decision support. Utilize structured and unstructured data from EHRs, claims, registries, wearables, and other healthcare data sources. Stay current on industry trends, standards (e.g., FHIR, ICD-10, CPT), and regulations (e.g., HIPAA, HITECH). Governance & Collaboration Establish standards for model governance, reproducibility, and compliance. Collaborate with data engineering and analytics teams to ensure data quality and infrastructure readiness. Translate complex data insights into clear business recommendations for executive leadership. To be successful in this role, you’ll need: Required: Master’s or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. 10+ years of experience in data science or machine learning, with at least 3 years in a leadership or management role. Proven experience applying advanced analytics to solve complex business problems. Strong proficiency in programming language like Python or R, SQL,  Experience with deep learning frameworks (e.g. TensorFlow, PyTorch.) Deep understanding of cloud-based data platforms (AWS, Azure, or GCP). Prior experience of building, maintaining, and improving machine learning models (neural networks, logistic regressions, boosted trees, k-means clustering, Keras, scikit-learn, XGBoost, PyMC3 etc.) Experience with Knowledge Graphs, retrieval augmented generation (RAG), Large Language Models (LLMs), Search etc Extensive experience with BI tools like Looker, Tableau, or PowerBI Excellent communication skills, with the ability to translate technical concepts into strategic business value. Preferred: Background in healthcare, with experience working with EHR, claims, population health, or clinical outcomes data. Experience with healthcare-specific applications like risk adjustment, utilization management, or patient engagement. Familiarity with HIPAA, healthcare compliance, and ethical AI practices. Pay Transparency Statement This is a hybrid position based out of our San Francisco office, with the expectation of being in office at least two weekdays per week.  #LI-hybrid   The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/ . San Francisco, CA Pay Range $226,085 — $283,250 USD Why Join Us? Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare Impactful projects that shape the future of our organization Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests Flexible work arrangements and a supportive work-life balance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com . Privacy Notice For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/ .

Job Title : Data Science Lead Location : Los Angeles, CA Type : 3 + Months Rate : $Open (Best Possible) Core Requirements Bachelor’s degree in Computer Science or related field preferred. 7+ years of professional experience A focus on hardware is going to be key. Experience in GPU programming models, such as OpenCL or CUDA. Experience with cross platform model compilers like ngraph, XLA, TensorRT, etc. Systems-level experience with Linux Operating System. Previous experience leading assessments or evaluations (proof-of-concept type work). Strong communication skills are required as there is heavy client engagement on a day-day basis. Note: If interested please send your updated resume and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!

Launch Program Overview: Skip the “entry-level grunt-work” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you’ll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you’ll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership. What You'll Do: As an Associate Data Science Product Manager, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases LLM workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Promote adoption and usage of your product and tooling. Interact directly with end-users for training, feedback, and user testing. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. Who you are: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles.  Scrappy, tenacious, self-motivated, yet a team player with humility and a great sense of humor. Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. Showcases high EQ - can collaborate effectively in a team environment. Experiences you’ve had: Graduating with a bachelor's or master's degree in Summer 2025, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management . (Start date in our August 2025 cohort) Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau).  Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT4). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility. Compensation: Starting Salary: $95,000  Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Matching 401(k) plan Flexible PTO Top medical, dental, and vision coverage Subsidized meals at our onsite cafe, smoothie bars and coffee bars (aka $5 for a made-to-order salad, sandwich, pizza, or sushi, or $2 for a delicious smoothie or latte) Free onsite fitness classes, premier wellness center, spin studio, basketball court, and yoga studio Casual dress code – yes, that means jeans! Who We Are Red Ventures is a global, multi-faceted company with a start-up mentality. Founded in 2000 with a focus on establishing strategic partnerships with Fortunate 500 companies, we grew rapidly within those first 10 years, quickly becoming a unicorn by utilizing our proprietary technologies to win in the digital marketing space. In 2015, we entered the age of acquisitions and began growing our own portfolio of owned and operated businesses. Over the subsequent years we diversified the types of industries we worked in and now work with over 100 brands. Every day, we help millions of people discover pertinent information that helps them make some of life’s biggest decisions, from their health to their home to their finances, among the plethora of industries in which we operate. Whether you work with a brand you know or a brand you’ve never heard of, you’ll know that your work is being seen and making a difference. For more information, visit  https://redventures.com and follow @RedVentures on social platforms. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact  accommodation@redventures.com.  If you are based in California, we encourage you to read this important information for California residents linked here . #LI   Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Graduate Management Admission Council (GMAC™) is a mission-driven organization, with a vision to be the global leader in ensuring every talented person can benefit from the best business education for them. The organization’s priority is to heighten its impact in promoting graduate management education and attracting a qualified and diverse candidate pool from around the world. The Director, Research and Data Science is responsible for overseeing the department and supporting the Council’s commitment to disseminating actionable and relevant information about the management education community. FLSA Status: Exempt Report to: Senior Vice President, School & Industry Engagement GMAC’s value proposition offers our talented employees the ideal climate for innovation, and colleagues who are motivated and proactive, with diverse backgrounds and approaches. As a global organization, we understand and appreciate the benefits of myriad cultural perspectives. GMAC is wholly committed to recruiting, developing, and retaining a diverse group of talented people, and providing equal employment opportunities to all employees and applicants without regard to the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, disability, sex (including pregnancy, childbirth, and related medical conditions), marital status, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable federal, state or local laws.

THE OPPORTUNITY Dillard’s is seeking a backend developer with an interest in data analysis and machine learning to join our team. For this role, you will use Python, Kornshell, JavaScript, and SQL for developing and maintaining applications. To be successful, you should be a life-long learner who enjoys acquiring knowledge of new technologies and striving for continuous improvement. THE TEAM This role is on the Customer Data Science team, which uses predictive insights to analyze customer behavior, current business trends, problems, and strategies to help provide actionable insights for the company. As a member of this team, you will work with Python and SQL to develop the applications and framework needed to develop predictive models and for our analytics-driven email programs. You will have the opportunity to make an immediate impact while also furthering your skills and knowledge by utilizing a diverse set of tools. WHAT YOU WILL DO Develop new code to integrate machine learning models into processes that adhere to coding best practices Test and debug currently deployed code Support deployment of smart emails weekly; develop new solutions to support email marketing automation and scalability for personalization Complete ad hoc analysis projects to support marketing and merchant brand analysis Develop predictive models based on customer behavior Work with cross-functional teams, such as Data Science, Data Warehouse, BI, Marketing THE MUST-HAVES Coding experience (Python) Strong SQL skills, with a desire to become a SQL expert Experience with large datasets and data processing Strong self-motivation to learn new technologies Ability to work independently as well as collaboratively Ability to adapt to change THE NICE-TO-HAVES Modeling experience Teradata experience Experience with machine learning algorithms or statistical modeling JavaScript WITHIN 1 MONTH, YOU’LL Develop a basic understanding of querying data in EDW. Develop a basic understanding of the customer data mart. Develop a basic understanding of our software stack. Develop a basic understanding of our Python scripts and how to troubleshoot them. WITHIN 2 MONTHS, YOU’LL Be able to complete a customer analysis independently. Develop a basic support of weekly smart emails. Contribute ideas for new models/projects. WITHIN 3 MONTHS, YOU’LL Be able to work independently in the data warehouse and AI environment. Be able to independently research, optimize, and maintain code. No immigration sponsorship (ex. H-1B, TN, STEM OPT) is available for this position