Senior Data Scientist jobs at Walmart - 386 jobs

FocusKPI is seeking a Data Scientist with MMM (Market Mix Modeling) to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S. Duration:6-month contract with potential for extension and conversion, depending on budget and performance Pay range: $50+/hour Responsibilities Perform hands‑on coding to retrieve and analyze large datasets using Python and SQL Integrate disparate data sources and leverage state‑of‑the‑art analytics best practices to deliver integrated, actionable insights to partners and stakeholders Manage and streamline the data extraction process with great attention to detail Assess the potential usefulness, validity, and rigor of new data sources Work witha cross‑functional team to ensure that the quality of the data is of the highest standard Help with media mix models to connect the impact of marketing tactics and business short‑term and long‑term outcomes Qualifications Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field 3+ years of industry experience in a data, analytics, and data science role Experience with advertising, measurement, and/or digital marketing analytics Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc. Proficient coding skills (SQL/Python/R) Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop) Proficient BI/BA data visualization tools (Tableau, Power BI, ThoughtSpot, Looker, etc.) Experience working with Marketing Mix Modeling (MMM) and/or Multi‑Touch Attribution Models (MTA) Experience with Modeling and Machine learning Experience with cloud technologies such as GCP, AWS, and Azure Experience in integrating, structuring, and analyzing large amounts of data from diverse sources Strong project management skills, attention to detail, and documentation skills. Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the business Passion for working in a fast‑paced agile environment. A collaborative mindset and sense of curiosity Experience with predictive modeling algorithms and optimization techniques Experience applying statistics to business problems Thank you! FocusKPI Hiring Team Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts. NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out ***************** email domain. If you have received fraudulent emails now or in the past, please report it to ***************************** The ************************ is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone **********************. #J-18808-Ljbffr

A leading AI-focused company in San Francisco is seeking an experienced data scientist. The role involves driving data strategy to enhance user engagement and product experience. Ideal candidates have extensive experience in data science, strong technical proficiency in Python and SQL, and a collaborative mindset. This position offers flexible paid time off, medical benefits, and an inclusive work environment. #J-18808-Ljbffr

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, and Singapore. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co‑CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co‑creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Sierra has built a strong data foundation-now we're looking to grow our Data Science team to unlock its full potential. You'll play a foundational role in driving data strategy, leveraging rich customer interaction data to improve user engagement and product experience. Partnering with engineering, research, and product teams, you'll develop predictive models, build experimentation capabilities, and embed data‑driven decision‑making across the company. This is a unique opportunity to shape Sierra's data future and make a lasting impact on AI‑powered customer interactions. Conduct deep‑diving analyses of customer data to identify trends, patterns, and actionable insights for improving the customer experience and product strategies. Develop and deploy machine learning models to analyze customer engagement and optimize experiences across chat, agent interactions, and product usage. Collaborate with product, engineering, and research teams to inform product strategy and execution, build excellent experiences, and experiment rapidly. Partner with the data platform team to ensure robust data pipelines and a scalable infrastructure for conducting advanced analytics. What you'll bring Proven Experience: Extensive experience in data science and analytics, with background leading projects from ideation to launch. Curiosity & Customer‑centricity: Passion for deeply understanding user needs and finding the right solutions from first principles. Adaptability and Resilience: Comfort working in a fast‑paced startup environment, able to adapt to changing priorities and handle ambiguity with grace. Technical proficiency: Strong proficiency in statistical analysis, machine learning, and data mining techniques using tools such as Python, R, SQL, and cloud‑based platforms (e.g., AWS, GCP). Strong analytic skills: Experience with large‑scale data analysis, and working with structured and unstructured data (including customer interaction data, chat logs, and user behavior data). Experimentation expertise: Ability to build and evaluate models for experimentation and causal inference, with a clear understanding of designing and analyzing A/B tests. Excellent communication: Strong written and verbal communication skills, with the ability to present complex technical results to non‑technical stakeholders. Great Collaboration: Ability to partner closely with product, engineering, and leadership to help bring ideas to life. Even better… Experience working with large language models (LLMs), conversational AI, or agent‑based systems. Familiarity with building or improving data platforms for advanced analytics. Exposure to product analytics or customer experience research in a SaaS or consumer‑facing tech company. Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self‑reflect to continuously self‑improve. Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full‑time employees: Flexible (Unlimited) Paid Time Off Medical, Dental, and Vision benefits for you and your family Life Insurance and Disability Benefits Retirement Plan (e.g., 401K, pension) with Sierra match Parental Leave Fertility and family building benefits through Carrot Lunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters most Free alphorn lessons These benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full‑time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. #J-18808-Ljbffr

Meet REVOLVE: REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit **************** At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It's our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment. In return, we promise to keep REVOLVE a company where inspired people will always thrive. To take a behind the scenes look at the REVOLVE “corporate” lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve. Are you ready to set the standard for Premium apparel? Main purpose of the Senior Data Science Analyst role: Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve. Major Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned. Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects Conduct complex analysis and build models to uncover key learning form data, leading to appropriate strategy recommendations. Work closely with the DBA to improve BI's infrastructure, architect the reporting system, and invest in time for technical proof of concept. Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysis Work alongside business stakeholders to apply our findings and models in website personalization, product recommendations, marketing optimization, to fraud detection, demand forecast, CLV prediction. Required Competencies: To perform the job successfully, an individual should demonstrate the following competencies: Outstanding analytical skills, with strong academic background in statistics, math, science or technology. High comfort level with programming, ability to learn and adopt new technology with short turn-around time. Knowledge of quantitative methods in statistics and machine learning Intense intellectual curiosity - strong desire to always be learning Proven business acumen and results oriented. Ability to demonstrate logical thinking and problem solving skills Strong attention to detail Minimum Qualifications: Master Degree is required 3+ years of DS and ML experience in a strong analytical environment. Proficient in Python, NumPy and other packages Familiar with statistical and ML methodology: causal inference, logistic regression, tree-based models, clustering, model validation and interpretations. Experience with AB Testing and pseudo-A/B test setup and evaluations Advanced SQL experience, query optimization, data extract Ability to build, validate, and productionize models Preferred Qualifications: Strong business acumen Experience in deploying end to end Machine Learning models 5+ years of DS and ML experience preferred Advanced SQL and Python, with query and coding optimization experience Experience with E-commerce marketing and product analytics is a plus A successful candidate works well in a dynamic environment with minimal supervision. At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it's what keeps us on our toes and excited to come to work every day. A reasonable estimate of the current base salary range is $120,000 to $150,000 per year.

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions. Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better . We are seeking a Data Scientist for our First Quality facilities located in McElhattan, PA; Lewistown, PA; and Macon, GA. **Must have manufacturing experience with consumer goods.** The role will provide meaningful insight on how to improve our current business operations. This position will work closely with domain experts and SMEs to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements. Principle Accountabilities/Responsibilities 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. What We Offer You We believe that by continuously improving the quality of our benefits, we can help to raise the quality of life for our team members and their families. At First Quality you will receive: Competitive base salary and bonus opportunities Paid time off (three-week minimum) Medical, dental and vision starting day one 401(k) with employer match Paid parental leave Child and family care assistance (dependent care FSA with employer match up to $2500) Bundle of joy benefit (year's worth of free diapers to all team members with a new baby) Tuition assistance Wellness program with savings of up to $4,000 per year on insurance premiums ...and more! 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. For immediate consideration, please go to the Careers section at ******************** to complete our online application.

A cutting-edge AI research lab in San Francisco is seeking a skilled software engineer to build and scale data pipelines for high-quality video datasets. The ideal candidate is a strong Python developer, enjoys solving challenging problems, and has excellent communication skills. This role involves end-to-end project ownership and requires working directly with customers. Sieve, Inc. offers an exciting opportunity to contribute to the frontier of Video AI. #J-18808-Ljbffr

A forward-thinking AI company based in San Francisco is seeking an experienced engineer to join their team. You will work closely with small, autonomous teams to create innovative tools and systems that enhance customer experiences. The ideal candidate has over four years of experience in product development, a strong background in full-stack solutions, and a passion for AI. Sierra offers competitive benefits, including flexible paid time off, comprehensive health coverage, and a supportive work environment. #J-18808-Ljbffr

A technology company in San Francisco is looking for skilled engineers to join their data team focused on building AI-driven platforms. Candidates should have strong experience in platform and product engineering, with deep knowledge in data systems, event streaming, and data visualization. The role offers a chance to work with cutting-edge technologies and be a part of a collaborative team that values diversity and innovation. Excellent benefits include flexible paid time off and comprehensive health plans. #J-18808-Ljbffr

A cutting-edge technology company in San Francisco is seeking a Data Platform Engineer to drive architecture and implementation of core systems. The ideal candidate has extensive experience with backend systems and demonstrates strong analytical skills in fields such as ML and statistics. Responsibilities include planning technical roadmaps and collaborating across teams. Medical benefits, unlimited PTO, and commuter advantages are offered. #J-18808-Ljbffr

What we're building and why we're building it. Every month, millions of people use Fetch earning rewards for buying brands they love, and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we've delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users. It's not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees. At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don't need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what's next, with us. Ranked as one of America's Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch. Fetch is an equal employment opportunity employer. Meet Fetch Engineering: At Fetch, our engineering philosophy emphasizes innovation, adaptability, and informed decision-making. Our engineers thrive in complex environments, making decisions based on critical thinking and data, even in uncertain situations. We value proactive problem-solving and focus on driving impactful results while maintaining high technical standards. You will work alongside talented engineers who are dedicated to pushing the boundaries of technology and encouraging each other to excel. We understand that Fetch may not be the right fit for everyone, but if you're passionate about solving challenging problems and navigating intricate systems, Fetch could be a great place for you. About the Role: Fetch is at a major inflection point in leveraging data to drive business growth and innovation. With over $100B in item-level purchase data from millions of monthly active users, we are uniquely positioned to turn raw consumer insights into actionable intelligence that powers every aspect of our product, operations, and monetization strategies. We are seeking a Senior Data Scientist to play a key role in developing and scaling Fetch's data science capabilities. This role transcends traditional analytics as you will architect and operationalize production-ready models and frameworks that directly influence Fetch's product strategy, personalization systems, and business outcomes. As a Senior Data Scientist, you will partner cross-functionally with Product, Engineering, Marketing, and Data Product teams to transform complex datasets into measurable business impact through experimentation, predictive modeling, and data-driven decision-making. Within your first year, you will lead multiple high-impact initiatives such as designing predictive models for engagement and churn, optimizing personalization systems through experimentation and machine learning, and developing scalable frameworks that quantify the business impact of new product launches and feature iterations. What you'll do at Fetch: Advanced Analytics & Modeling Design, build, and deploy predictive and causal models that power personalization, retention, and monetization strategies. Apply advanced statistical methods, including Bayesian inference, causal impact analysis, and hierarchical modeling, to guide decision-making. Develop and operationalize experimentation and measurement frameworks that ensure accurate attribution and reproducibility across Fetch's products. Business Impact & Experimentation Quantify the impact of key business and product initiatives, translating complex model outputs into actionable insights. Design and analyze experiments that test hypotheses about user behavior, product features, and marketing initiatives. Establish metrics and analytical frameworks that measure Fetch's progress toward strategic growth and retention goals. Collaboration & Influence Partner closely with Product, Engineering, and Data Product teams to transform insights into scalable data products and intelligent systems. Communicate complex analyses through clear narratives and visualizations that drive executive understanding and action. Mentor and collaborate with peers to strengthen Fetch's scientific rigor, data culture, and analytical storytelling capabilities. Technical Excellence Leverage tools and technologies such as Python, SQL, Snowflake, dbt, Airflow, Spark, and AWS to build and scale robust data science solutions. Champion best practices in experimentation, model validation, reproducibility, and governance. Advance Fetch's use of AI/ML tools for automation, documentation, and anomaly detection, emphasizing validation and responsible use. Minimum Requirements: 5+ years of experience in data science, machine learning, or applied analytics with proven impact in product-driven environments. Deep expertise in statistical modeling, experimental design, and causal inference. Strong proficiency in SQL and at least one programming language (Python preferred). Experience working with large-scale data systems such as Snowflake, dbt, Airflow, or Spark. Proven ability to communicate complex technical insights to non-technical stakeholders and drive strategic decision-making. Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field. Preferred Requirements: Advanced degree (Master's or Ph.D.) in a quantitative discipline. Experience deploying ML models into production and managing model lifecycle and performance. Background in consumer technology, ad tech, or personalization systems. Experience building frameworks that improve experimentation velocity and decision quality. Familiarity with privacy-preserving data modeling and compliance standards such as GDPR or CCPA. Mentorship experience or demonstrated leadership in scientific or analytical development. This is a full-time role that can be held from one of our US offices or remotely in the United States. At Fetch, we'll give you the tools to feel healthy, happy and secure through: Equity: We offer employees equity in Fetch, so that everyone can benefit from Fetch's growth. 401k Match: Dollar-for-dollar match up to 4%. Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets. Continuing Education: Fetch provides ten thousand per year in education reimbursement. Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership. Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People's Day, as well as our year-end week-long break. Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule. Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more! Flexible Work Environment: Collaborate with your team in one of our stunning offices in Madison, Birmingham, or Chicago. Or you can work fully remotely from anywhere in the US. We'll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential. Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com. Learn more: Fetch Recruitment Scam Warning.

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.

We believe that difference sparks brilliance, so we welcome people and ideas from everywhere to join us in stretching what's possible. At Tapestry, being true to yourself is core to who we are. When each of us brings our individuality to our collective ambition, our creativity is unleashed. This global house of brands - Coach & Kate Spade New York - was built by unconventional entrepreneurs and unexpected solutions, so when we say we believe in dreams, we mean we believe in making them happen. We're always on a journey to becoming our best, but you can count on this: Here, your voice is valued, your ambitions are supported, and your work is recognized. A member of the Tapestry family, we are part of a global house of brands that has unwavering optimism and is committed to being innovative and wholly inclusive. Primary Purpose The Data Scientist, Forecasting will play a critical role in developing and maintaining accurate, scalable forecasting solutions that drive strategic and operational decision-making across the organization. This individual will own end-to-end forecasting processes across multiple time horizons, brands, channels, and regions. The ideal candidate will bring expertise in statistical modeling and machine learning, and will partner closely with cross-functional teams to deliver insights and tools that support business growth and efficiency. Key Responsibilities Design, develop, and maintain a comprehensive suite of retail forecasts for supply chain, sales, and customer traffic among others. Build and deploy forecasting models using time series analysis, regression techniques, and machine learning algorithms. Develop tools and frameworks to enable ad-hoc forecast updates, integrate user feedback, and incorporate outputs from other models. Scale forecasting methodology and drive increased accuracy and flexibility. Analyze large-scale datasets to uncover trends, seasonality, and external drivers such as promotions, economic indicators, weather, and competitive activity. Integrate product lifecycle stages, promotional campaigns, and macroeconomic variables into forecasting models. Collaborate with stakeholders to understand business objectives and ensure forecasts align with strategic and operational planning needs. Communicate forecast insights and recommendations effectively to both technical and non-technical audiences, including senior leadership. Document forecasting methodologies and maintain version control using tools such as Git and Bitbucket; leverage model and feature stores to ensure enterprise-wide accessibility. Stay informed on industry trends, consumer behavior, and advancements in forecasting methodologies. Qualifications Bachelor's degree in Statistics, Economics, Data Science, Applied Mathematics, or a related quantitative field (Master's or PhD preferred). 3-5 years of demonstrated experience in retail forecasting, demand planning, or a similar analytics-focused role. Proficiency in Python and advanced SQL; experience with forecasting libraries and platforms (e.g., Prophet, scikit-learn). Familiarity with cloud-based forecasting services (e.g., AWS Forecast) and multi-environment cloud architectures. Experience with modern Machine Learning Operations and tools for Code, Model and Data versioning and governance. Strong communication skills with the ability to translate complex analytical concepts for non-technical stakeholders. Proven ability to thrive in fast-paced, cross-functional environments. Ability to work with ambiguity and prioritize requests and multiple stakeholders. Knowledge of retail operations, merchandising, and supply chain processes is a plus. Our Competencies for All Employees Courage: Doesn't hold back anything that needs to be said; provides current, direct, complete, and “actionable” positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary. Creativity: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. Customer Focus: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect. Dealing with Ambiguity: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn't upset when things are up in the air; doesn't have to finish things before moving on; can comfortably handle risk and uncertainty. Drive for Results: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results. Interpersonal Savvy: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably. Learning on the Fly: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything. Our Competencies for All People Managers Strategic Agility: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans. Developing Direct Reports and Others: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder. Building Effective Teams: Blends people into teams when needed; creates strong morale and spirit in his/her team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team. Tapestry, Inc. is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant's or employee's qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law. Americans with Disabilities Act (ADA) Tapestry, Inc. will provide applicants and employees with reasonable accommodation for disabilities or religious beliefs. If you require reasonable accommodation to complete the application process, please contact Tapestry People Services at ************** or ****************************** Visit Tapestry, Inc. at ************************ Work Setup: HYBRID #LI-HYBRID BASE PAY RANGE $130,000.00 TO $145,000.00 Here are some of the benefits that we offer: Medical insurance, Dental insurance, Vision insurance, 401 (K), Paid Paternity and Maternity leave, Commuter Benefits, Disability insurance and Tuition assistance. Please click here for a complete list of U.S Corporate Compensation & Benefits.

Job Description Meet REVOLVE: REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit **************** At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It's our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast- paced work environment. Some of the sweetest perks we offer aren't in a typical benefit package like hefty discount on items we carry - as in 50% or more off retail prices, free weekly lunches, and pretty rad company parties. To take a behind the scenes look at the REVOLVE “corporate” lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve. Are you ready to set the standard for Premium apparel? Main purpose of the Senior Data Scientist role: Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve. Major Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned. Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects Mentor junior data scientists and analysts, providing guidance on best practices and methodologies Conduct complex analysis and build models to uncover key learning form data, leading to appropriate strategy recommendations. Work closely with the DBA to improve BI's infrastructure, architect the reporting system, and invest in time for technical proof of concept. Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysis Work alongside business stakeholders to apply our findings and models in website personalization, product recommendations, marketing optimization, to fraud detection, demand forecast, CLV prediction. Experiment with new tools, technologies, and methodologies to enhance AI and Data Science capabilities. Contribute to the development of the company's data science strategy and roadmap Required Competencies: To perform the job successfully, an individual should demonstrate the following competencies: Outstanding analytical skills, with strong academic background in statistics, math, science or technology. High comfort level with programming, ability to learn and adopt new technology with short turn-around time. Knowledge of quantitative methods in statistics and machine learning Intense intellectual curiosity - strong desire to always be learning Proven business acumen and results oriented. Ability to demonstrate logical thinking and problem solving skills Strong attention to detail Minimum Qualifications: Master Degree is required 3+ years of DS and ML experience in a strong analytical environment. Proficient in Python, NumPy and other packages Familiar with statistical and ML methodology: causal inference, logistic regression, tree-based models, clustering, model validation and interpretations. Experience with AB Testing and pseudo-A/B test setup and evaluations Advanced SQL experience, query optimization, data extract Ability to build, validate, and productionize models Preferred Qualifications: Strong business acumen Experience in deploying end to end Machine Learning models 5+ years of DS and ML experience preferred Advanced SQL and Python, with query and coding optimization experience Experience with E-commerce marketing and product analytics is a plus A successful candidate works well in a dynamic environment with minimal supervision. At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it's what keeps us on our toes and excited to come to work every day. For individuals assigned and/or hired to work in California, Revolve includes a reasonable estimate of the salary or hourly rate range for this role. This takes into account the wide range of factors that are considered in making compensation decisions; including but not limited to business or organizational needs, skill sets, experience and training, licensure, and certifications. A reasonable estimate of the current base hourly/salary range is $120,000 to $150,000/ year. ATTENTION: After submitting your application, please check your spam folder for emails on your application status. Emails are sent from an ADP email address.

Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: Growth Data Science is a global team of data scientists who work with internal and external stakeholders to improve the effectiveness of Moloco Ads and help advertisers achieve their business goals. As a Senior Data Scientist you will act as a leader within the team, working across a portfolio of top strategic advertisers and taking ownership of high impact product initiatives. This is a critical and highly cross-functional role with diverse responsibilities; Advertiser engagement; engaging with advertisers to understand their business objectives, measurement strategies and identifying opportunities for Moloco to drive business value Measurement consultation; consulting with advertisers on measurement methodologies, helping them to understand nuances between different measurement solutions (MMP attribution, incrementality, MMM) and supporting the activation of Moloco incrementality solutions Insights generation; data collection, analysis and effective communication of learnings and recommendations to multiple levels of stakeholder up to C-Level Campaign optimization: partnering with internal and external teams on analysis and testing to identify opportunities to improve Moloco campaign effectiveness Product development; collaborating with key stakeholders across Moloco product and engineering teams to help improve our products and services based on market insights and advertiser feedback Product activation; collaborating with Moloco business teams to develop activation strategies to unlock product performance and drive adoption across advertiser groups Minimum Requirements: Education: Bachelor's degree or equivalent practical experience. Statistics: must have knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Programming: experience in Python and SQL is required. Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs. Excellent verbal and written communication skills. Ability to distill complex concepts and information into simple recommendations, presenting to stakeholders at various levels of seniority and technical expertise. Experienced building partnerships with advertisers and business teams to grow an Ads business using data and analytics. Proven ability to own projects end-to-end and operate in ambiguous problem spaces, able to develop creative solutions to complex problems. Demonstrated leadership and self-direction. Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Pay Range: $172,000 - $220,000 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

REI Co-op is united in finding better ways to work. The goal is to help people find and enjoy the outdoors. When you work for the co-op, you do your best work. You also get support to live your best life. You help shape the future of the outdoors for people and the planet. As the Asset Protection & Risk Management Sr. Data Scientist at REI, you will work with cross-functional data sets. You will influence the long-term growth of our department's analytics capability. You should have exceptional technical, business, and communication skills. You must translate key business questions into data processes, data sets, models, and examination that answer those questions. You will drive regular deep, topical analyses of strategic and tactical questions focusing on an industry concept of Total Retail Loss. You will also help create and maintain all data pipelines and analytics strategy for the Asset Protection and Risk Management team. This role uses knowledge of statistical modeling, technical skills, and business understanding to build insights and capacity. This helps REI deliver exceptional results. The ideal candidate is a self-starter with many technical and critical skills. The candidate should be skilled at turning data findings into clear, useful insights. Responsibilities and Qualifications * Show an infectious curiosity and exceptional determination. Have a deep commitment to learning and applying knowledge to solve important business problems. Push the boundaries of our abilities. * Thrive in an environment of change and uncertainty. Apply scientific objectivity and intelligent ingenuity to solve problems and test hypotheses and beliefs. * Proactively develop new metrics and studies to quantify the value of different aspects of business processes and consumer behavior * Translate analytic insights into concrete, actionable recommendations for business or product improvement * Highly skilled at querying relational databases (SQL). Able to automate and maintain processes to pull and integrate data from many different sources. * Translate and effectively communicate future business needs into requirements that inform enterprise analytics platform strategy * Integration of internally and externally produced unstructured, semi-structured, and relational data sources * Build and maintain processes to acquire, transform, and curate multiple types of data necessary for examination and insights * Possess exceptional writing, data visualization, and communication skills. Can explain complex quantitative examination clearly and precisely to senior executives. * Have a solid passion for answering hard questions with data. Demonstrate the ability to create and implement new ideas at many levels of the organization. * Revel in the complex, but seek to simplify and clarify in your examination and communications * May perform other ancillary duties including but not limited to: coordination of testing, tuning, troubleshooting, business consultation and training Required Qualifications * Bachelor's degree in computer science, computer engineering, mathematics, statistics, physics, or other quantitative discipline required * 5+ years of related work experience as a data scientist, predictive analyst, statistician, quantitative analyst or actuary. * Demonstrated ability to self-educate and learn while doing in a highly complex, ambiguous, and rapidly changing environment. * Exceptional experience in developing sound analytics-based solutions to business problems * Proficiency in at least one modern programming language and a statistical programming language, Python & R preferred * Has deep experience with SQL and relational data models. Has exceptional skills in visualization tools like Tableau and Sigma. Has exceptional skills in Microsoft tools like Excel and VBA. * Excellence in applying critical rigor & technical proficiency to the business environment * Demonstrate skill in explaining complex technical and critical ideas to non-technical audiences. Adjust communication style to fit the audience at any level of the organization. Preferred Qualifications * Master's Degree or Ph.D. * Hadoop knowledge/Experience, Map Reduce, HBASE/HIVE, Basic Spark * Previous experience in a multi-channel retail environment Closing At REI, we believe the outdoors is for all. We are committed to becoming a fully inclusive, anti-racist, multicultural organization. We know that there's strength in our diversity - that each employee brings unique skills, experiences, and perspectives. Every day you are driving change, fostering a culture of respect, and knowing you're backed by benefits that support your whole life. To work towards this commitment and fulfill our brand promise of inspiring and enabling a life outside for everyone, we seek employees who demonstrate different ways of working, create a sense of belonging, and actively listen and learn. Pay Transparency We are committed to practices that promote pay equity and transparency. As required by applicable Pay Transparency laws, REI provides a range of compensation for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including: your specific skills and experience, geographic location or other relevant factors. REI offers all regular employees a generous employee discount, access to health benefits, a retirement savings plan and accrued time off. Click here for a detailed overview of benefits plans by employee profile. Pay Range $144,000.00 - $244,800.00 per year

REI Co-op is united in finding better ways to work. The goal is to help people find and enjoy the outdoors. When you work for the co-op, you do your best work. You also get support to live your best life. You help shape the future of the outdoors for people and the planet. As the Asset Protection & Risk Management Sr. Data Scientist at REI, you will work with cross-functional data sets. You will influence the long-term growth of our department's analytics capability. You should have exceptional technical, business, and communication skills. You must translate key business questions into data processes, data sets, models, and examination that answer those questions. You will drive regular deep, topical analyses of strategic and tactical questions focusing on an industry concept of Total Retail Loss (*************************************************************************** . You will also help create and maintain all data pipelines and analytics strategy for the Asset Protection and Risk Management team. This role uses knowledge of statistical modeling, technical skills, and business understanding to build insights and capacity. This helps REI deliver exceptional results. The ideal candidate is a self-starter with many technical and critical skills. The candidate should be skilled at turning data findings into clear, useful insights. **Responsibilities and Qualifications** + Show an infectious curiosity and exceptional determination. Have a deep commitment to learning and applying knowledge to solve important business problems. Push the boundaries of our abilities. + Thrive in an environment of change and uncertainty. Apply scientific objectivity and intelligent ingenuity to solve problems and test hypotheses and beliefs. + Proactively develop new metrics and studies to quantify the value of different aspects of business processes and consumer behavior + Translate analytic insights into concrete, actionable recommendations for business or product improvement + Highly skilled at querying relational databases (SQL). Able to automate and maintain processes to pull and integrate data from many different sources. + Translate and effectively communicate future business needs into requirements that inform enterprise analytics platform strategy + Integration of internally and externally produced unstructured, semi-structured, and relational data sources + Build and maintain processes to acquire, transform, and curate multiple types of data necessary for examination and insights + Possess exceptional writing, data visualization, and communication skills. Can explain complex quantitative examination clearly and precisely to senior executives. + Have a solid passion for answering hard questions with data. Demonstrate the ability to create and implement new ideas at many levels of the organization. + Revel in the complex, but seek to simplify and clarify in your examination and communications + May perform other ancillary duties including but not limited to: coordination of testing, tuning, troubleshooting, business consultation and training **Required Qualifications** + Bachelor's degree in computer science, computer engineering, mathematics, statistics, physics, or other quantitative discipline required + 5+ years of related work experience as a data scientist, predictive analyst, statistician, quantitative analyst or actuary. + Demonstrated ability to self-educate and learn while doing in a highly complex, ambiguous, and rapidly changing environment. + Exceptional experience in developing sound analytics-based solutions to business problems + Proficiency in at least one modern programming language and a statistical programming language, Python & R preferred + Has deep experience with SQL and relational data models. Has exceptional skills in visualization tools like Tableau and Sigma. Has exceptional skills in Microsoft tools like Excel and VBA. + Excellence in applying critical rigor & technical proficiency to the business environment + Demonstrate skill in explaining complex technical and critical ideas to non-technical audiences. Adjust communication style to fit the audience at any level of the organization. **Preferred Qualifications** + Master's Degree or Ph.D. + Hadoop knowledge/Experience, Map Reduce, HBASE/HIVE, Basic Spark + Previous experience in a multi-channel retail environment **Closing** **At REI, we believe the outdoors is for all.** We are committed to becoming a fully inclusive, anti-racist, multicultural organization. We know that there's strength in our diversity - that each employee brings unique skills, experiences, and perspectives. Every day you are driving change, fostering a culture of respect, and knowing you're backed by benefits that support your whole life. To work towards this commitment and fulfill our brand promise of inspiring and enabling a life outside for everyone, we seek employees who demonstrate different ways of working, create a sense of belonging, and actively listen and learn. **Pay Transparency** We are committed to practices that promote pay equity and transparency. As required by applicable Pay Transparency laws, REI provides a range of compensation for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including: your specific skills and experience, geographic location or other relevant factors. REI offers all regular employees a generous employee discount, access to health benefits, a retirement savings plan and accrued time off. Click here (******************************** for a detailed overview of benefits plans by employee profile. **Pay Range** $144,000.00 - $244,800.00 per year

Job DescriptionAbout Weee! Weee! is the largest and fastest-growing ethnic e-grocer in the United States, operating in one of the largest underserved categories in retail with affordable access to exciting ethnic food. By partnering with local suppliers, redesigning the value chain and leveraging social buying, Weee! is reshaping the grocery business entirely. You can read more about us on Business Insider, Reuters and TechCrunch. Weee! is headquartered in Fremont, CA, and is currently available coast to coast with exceptional growth (5x YoY) across geographies, categories and ethnicities. We have raised $800M+ in funding to date from leading investors including Softbank Vision Funds, DST, Blackstone, Tiger Global, Lightspeed Ventures, Goodwater Capital, XVC and iFly. The opportunity now is to join a rocketship as we prepare for the next stage of growth, and an eventual public listing. This role is onsite 5 days a week in Fremont, CA About the role We're looking for a Sr. Data Scientist with a passion for working with merchandising, pricing/promotion finance/accounting, and user behavioral data to help define strategy, guide operations, and KPIs and impact how we build experiences and products. Responsibilities: Build dashboards, self-service tools including LLM agents, and ad hoc reports to analyze and present data associated with customer experience, business operations, and strategic decision making Work closely with the pricing team to test and measure different pricing/promotion strategies, identify issues, trends, user behavior changes. Conduct end-to-end analyses, including data gathering from large and complex data sets, processing, and analysis employing advanced statistical and ML methods, with ongoing deliverables to improve user experience Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating metrics and results to stakeholders. Partner with Data Engineering to craft our data infrastructure investments in support of BI needs and ensure the proper tracking and quality of the data Qualifications MS in Math, Statistics, or another closely-related quantitative field 4+ years of Data Analysis experience in preferably e-commerce or customer-facing business Expert in data analysis, visualization, and communication, with prior full-time work experience, strongly preferred Experience creating dashboards/visualizations using, e.g., Tableau (or similar) Expertise in SQL, and comfort with Python Ability to work in a fast-paced start-up environment and deliver excellent results, requiring minimal supervision. Cross-functional and can wear different hats at the same time Be a self-starter, detail-oriented, eager to learn, and motivated by a passion for developing the best possible solutions to problems Strong communication skills, and ability to work with multiple stakeholders. Preferred Qualifications Experience managing data pipelines Experience with Retail/Ecommerce; especially merchandising/operation analytics Experience with Finance/Accounting Analytics Experience with building systematic solutions Benefits Comprehensive health insurance package, including medical, dental, and vision. PPO/HMO packages 401k, 4% company match Equity and Bonus Vacation, sick and holiday time off Monthly mobile stipend Monthly Weee! Points credits Compensation Range The US base salary range for this full-time position is $115,000 - $165,000 This role may be eligible to discretionary bonus, incentives and benefits Our salary ranges are determined by role, level, and location The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements. Weee! is an equal opportunity employer welcoming all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. Discrimination or harassment of any kind is not tolerated at Weee!. If you need to inquire about an accommodation or need assistance with completing the application, please email us at applicantaccommodation@sayweee.com. For more jobs and to find out more about Weee!, visit our career page: ********************************* Softbank Vision Funds

! Weee! is the largest and fastest-growing ethnic e-grocer in the United States, operating in one of the largest underserved categories in retail with affordable access to exciting ethnic food. By partnering with local suppliers, redesigning the value chain and leveraging social buying, Weee! is reshaping the grocery business entirely. You can read more about us on Business Insider, Reuters and TechCrunch. Weee! is headquartered in Fremont, CA, and is currently available coast to coast with exceptional growth (5x YoY) across geographies, categories and ethnicities. We have raised $800M+ in funding to date from leading investors including Softbank Vision Funds, DST, Blackstone, Tiger Global, Lightspeed Ventures, Goodwater Capital, XVC and iFly. The opportunity now is to join a rocketship as we prepare for the next stage of growth, and an eventual public listing. This role is onsite 5 days a week in Fremont, CA About the role We're looking for a Sr. Data Scientist with a passion for working with merchandising, pricing/promotion finance/accounting, and user behavioral data to help define strategy, guide operations, and KPIs and impact how we build experiences and products. Responsibilities: Build dashboards, self-service tools including LLM agents, and ad hoc reports to analyze and present data associated with customer experience, business operations, and strategic decision making Work closely with the pricing team to test and measure different pricing/promotion strategies, identify issues, trends, user behavior changes. Conduct end-to-end analyses, including data gathering from large and complex data sets, processing, and analysis employing advanced statistical and ML methods, with ongoing deliverables to improve user experience Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating metrics and results to stakeholders. Partner with Data Engineering to craft our data infrastructure investments in support of BI needs and ensure the proper tracking and quality of the data Qualifications MS in Math, Statistics, or another closely-related quantitative field 4+ years of Data Analysis experience in preferably e-commerce or customer-facing business Expert in data analysis, visualization, and communication, with prior full-time work experience, strongly preferred Experience creating dashboards/visualizations using, e.g., Tableau (or similar) Expertise in SQL, and comfort with Python Ability to work in a fast-paced start-up environment and deliver excellent results, requiring minimal supervision. Cross-functional and can wear different hats at the same time Be a self-starter, detail-oriented, eager to learn, and motivated by a passion for developing the best possible solutions to problems Strong communication skills, and ability to work with multiple stakeholders. Preferred Qualifications Experience managing data pipelines Experience with Retail/Ecommerce; especially merchandising/operation analytics Experience with Finance/Accounting Analytics Experience with building systematic solutions Benefits Comprehensive health insurance package, including medical, dental, and vision. PPO/HMO packages 401k, 4% company match Equity and Bonus Vacation, sick and holiday time off Monthly mobile stipend Monthly Weee! Points credits Compensation Range The US base salary range for this full-time position is $115,000 - $165,000 This role may be eligible to discretionary bonus, incentives and benefits Our salary ranges are determined by role, level, and location The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements. Weee! is an equal opportunity employer welcoming all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. Discrimination or harassment of any kind is not tolerated at Weee!. If you need to inquire about an accommodation or need assistance with completing the application, please email us at applicantaccommodation@sayweee.com. For more jobs and to find out more about Weee!, visit our career page: ********************************* Softbank Vision Funds

Temp Data Scientist - Boston, MA or NC, NH, RI, TX, MA, or CO (18 month contract- probable extension or permanent conversion) Notes: Master's Degree Required Python development to build time series models Run SQL queries Linux OS administration Any web development experience preferred. Experience working with Artificial Intelligence, Machine learning algorithms, neural networks, decision trees, modeling, Cloud Machine Learning, time series analysis and robotics process automation. Description: We are seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate's key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of customers. Absolutely critical is the associate's ability to carry an initiative from idea through to execution. 5+ years' experience in Information security/technology risk management for large-scale, complex IT infrastructures and distributed environments or an equivalent combination of related training and experience Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with next best action (NBA) prediction, multi-armed bandits, online learning, A/B testing, and experimentation methods are preferred Natural programmer, and confirmed industry experience with statistics and data modeling Experience with one or more of the following tools/frameworks - python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc Education- At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc. Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation We are looking for an authority quantitative developer to advance the research and development of AI/ML methods as components in the delivery of creative investment management technology solutions. You will have experience combining multi-variate statistical modeling, predictive machine learning methods and open-source approaches to Cloud computing and Big Data.