Data Scientist jobs at Nordstrom - 387 jobs

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.

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 Data Analyst, Editorial & Merchandising Strategy role: We're looking for a highly analytical, detail-oriented Data Analyst to join the Merchandising team. Unlike traditional BI roles, this position is embedded within the merchandising organization and focused on connecting performance data to our brand storytelling and fashion positioning. Reporting into the Director of Editorial & Merchandising Strategy, you'll be responsible for aggregating data across channels, analyzing performance through a merchandising and content lens, and delivering clear, actionable insights that help the team make adjustments in real time. Your work will directly inform how we position product, link stories, optimize imagery, refine copy, and ultimately drive traffic and conversion. Major Responsibilities: Essential Duties and Responsibilities include the following. Other duties may be assigned. Aggregate and synthesize data from multiple sources (email, site, social, paid, merchandising reports) into a cohesive weekly performance readout. Translate data into insights tied to editorial and merchandising strategy, highlighting what's working and what's not in areas such as imagery, copy, linking strategy, and product performance. Present weekly findings in a clear, digestible format to merchandising and marketing leadership, enabling quick pivots and real-time adjustments. Own recurring reporting (weekly, monthly, quarterly) across product categories, campaigns, and trend shops - connecting results back to topline brand and merchandising strategies. Identify shifts in customer behavior, content engagement, and merchandising opportunities, surfacing recommendations proactively. Build dashboards and reports using BI tools (ie Tableau or similar) to track KPIs such as sell-through, conversion, AOV, click-through, and engagement. Partner with BI/data teams to ensure accuracy and consistency of data, while tailoring insights specifically to merchandising and content needs. Act as the “data translator” within the merchandising team, ensuring analytics are always framed within the context of storytelling Required Competencies: To perform the job successfully, an individual should demonstrate the following competencies: 2-4 years of experience in an analytical role (ideally within retail, e-commerce, or consumer-facing industry). Advanced Excel and SQL skills; experience with BI/visualization tools (Tableau, Looker, PowerBI, or Domo). Strong business acumen with the ability to connect data directly to marketing, merchandising, and content strategies. Skilled at synthesizing complex data into concise, actionable takeaways that non-technical partners can use immediately. Detail-oriented, proactive, and comfortable working independently in a fast-paced environment. Excellent communication and presentation skills, with a talent for framing insights within a broader narrative. A collaborative team player who understands the strategic vision of editorial and merchandising, not just the numbers 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 $100,000 to $110,000.

The Sustainability Data Analyst will play a pivotal role in advancing the sustainability and CSR initiatives at Wakefern and its membership. Reporting to the CSR Manager, the Sustainability Data Analyst will be responsible for helping design, develop, and implement sound sustainability programs requiring partnering with many stakeholders including associates, members, customers, and vendor partners. The Sustainability Data Analyst will collaborate with other internal teams and divisions to help drive sustainability programs forward, including Government Relations, Engineering, Own Brands, Marketing, Advertising, Social Media, and Compliance. The successful candidate should have a broad knowledge of current corporate sustainability challenges, ideally in the food and consumer goods sectors. The Sustainability Data Analyst should be able to learn and adapt quickly - monitoring emerging trends, navigating a large corporate environment, and connecting the dots to find efficiencies and successful paths forward. The individual should be a self-starter, multi-tasker, problem solver, systems thinker, and highly motivated. Essential Functions Supports Wakefern's responsible sourcing program including supplier engagement, criteria development, and tracking key performance indicators. Conducts frequent research and peer benchmarking analyses to support strategic planning, goal setting, and program improvements. Supports Flexible Film Recycling Program, serving as main point of contact for participating stores, Wakefern warehouse associates, and vendors. Supports and helps grow retail green teams, including hosting regularly scheduled training sessions and creation of additional resources for program enhancement. Builds subject matter expertise in sustainability topics and develops PowerPoint decks on emerging issues and trends for the CSR Committee. Develops and maintains documentation of processes and procedures around data collection and management. Develops best practices for retail locations to achieve sustainability goals and objectives and develops communications/training plan. Supports retail waste and recycling programs, including program expansion of the Flexible Film Recycling Program, serving as main point of contact for participating stores, Wakefern warehouse associates, and vendors. Plans and executes CSR community events within budget, coordinating with internal teams, brands, and community partners where necessary. Supports development of Wakefern's Greenhouse Gas Inventory to generate environmental metrics for Wakefern and member operations and drives improvement programs around climate change, energy usage, water resources, waste and transportation. Develops retail sustainability and corporate social responsibility resources, including signage, leaflets, trainings, and other materials to promote initiatives. Develops Wakefern corporate media content related to sustainability and corporate social responsibility programs, including videos, social media posts, and press releases. Qualifications Bachelor's degree required. Discipline in Sustainability, Environmental Management, or Business Administration desired. Master's degree is preferred. Minimum 2-4 years of relevant experience required. Knowledge of generalist sustainability standards and environmental, social, and governance (ESG) frameworks such as GRI, CDP, SASB, and TCFD. Strong communication, presentation, and interpersonal skills. Excellent organizational abilities with the ability to multi-task. Proven business acumen and a team player. Proven ability to meet deadlines and work independently. Ability to find creative solutions to problems. Ability to work in a large matrixed organization and cross-divisional environment. Excellent project management skills and attention to detail. Strong analytical and systems-thinking skills. Excellent proficiency with Microsoft Office. Event planning skills a plus. Working Conditions & Physical Demands Availability to work a varied, flexible schedule to meet business demands Ability to monitor computer screens for long periods of time Ability to work a hybrid schedule as established by the division (4 days on-site, 1 day remote) Core Competencies Communicate Effectively: Communicates thoughts and ideas in a well-organized manner, encouraging two-way communication. Build Relationships: Creates cross-functional partnerships through the development and maintenance of constructive and cooperative relationships. Stay Competitive: Demonstrates a mindset of continuous improvement while exhibiting passion and enthusiasm for their work. Embrace Change: Looks for new ways of working by supporting advancements in processes and technology. Develop You: Identifies and capitalizes on opportunities for personal and professional career growth. Drive for Results: Supports divisional and strategic objectives through achievement of work goals. Compensation and Benefits The salary range for this position is $65,000 to $75,000. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations. Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave. Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements.

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 specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges. In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India. We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career. Job Description Need some experienced in Hadoop and related programming environments (Hive,Pig,etc) Responsibilities: Having a wide-latitude in determining objectives and approaches to solution development on mission critical assignments Going beyond established analytical thinking and problem-solving by applying creativity to unconventional concepts and out-of-the-box solutions Be part of a dynamic and cohesive team of highly trained and successful researchers Independence in the shaping and development of projects Ability to quickly understand patterns within large quantity of data and to reference key characteristics using visualization techniques Demonstrating strong programming skills in large-scale data analysis using Java, R, Python or related software Leveraging strong math skills and statistical knowledge to advanced data mining and data analysis activities related to next generation Cloud technologies Qualifications Required: MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field Solid knowledge of statistical techniques is required Hands-on programming experience with one or more of the following: Java, Python, R, or related languages 1-3+ years' experience manipulating large datasets and using databases (e.g. SAS, R, SQL, S-Plus, etc.) 1-3+ years' experience with a general-purpose programming language (e.g. C, Java, Python, etc.) Familiarity with basic principles of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.) Demonstrable ability to quickly understand new concepts---all the way down to the theorems-and to come out with original solutions to mathematical issues Strongly Preferred: PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field Proven experience with Machine Learning techniques, especially on large scale datasets Proven experience with Hadoop and related programming environments (Hive,Pig,etc) Demonstrable skills in creative-problem-solving of complex and advanced technical subject matter Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel Additional Information GOOD COMMUNICATION SKILLS DURATION: 6 months INTERVIEW: PHONE

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges. In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India. We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career. Job Description Need some experienced in Hadoop and related programming environments (Hive,Pig,etc) Responsibilities: Having a wide-latitude in determining objectives and approaches to solution development on mission critical assignments Going beyond established analytical thinking and problem-solving by applying creativity to unconventional concepts and out-of-the-box solutions Be part of a dynamic and cohesive team of highly trained and successful researchers Independence in the shaping and development of projects Ability to quickly understand patterns within large quantity of data and to reference key characteristics using visualization techniques Demonstrating strong programming skills in large-scale data analysis using Java, R, Python or related software Leveraging strong math skills and statistical knowledge to advanced data mining and data analysis activities related to next generation Cloud technologies Qualifications Required: MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field Solid knowledge of statistical techniques is required Hands-on programming experience with one or more of the following: Java, Python, R, or related languages 1-3+ years' experience manipulating large datasets and using databases (e.g. SAS, R, SQL, S-Plus, etc.) 1-3+ years' experience with a general-purpose programming language (e.g. C, Java, Python, etc.) Familiarity with basic principles of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.) Demonstrable ability to quickly understand new concepts---all the way down to the theorems-and to come out with original solutions to mathematical issues Strongly Preferred: PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field Proven experience with Machine Learning techniques, especially on large scale datasets Proven experience with Hadoop and related programming environments (Hive,Pig,etc) Demonstrable skills in creative-problem-solving of complex and advanced technical subject matter Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel Additional Information GOOD COMMUNICATION SKILLS DURATION: 6 months INTERVIEW: PHONE

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.

THE ROLE: Drive business value through artificial intelligence and machine learning by developing, deploying, and optimizing AI models that tackle complex business problems and unlock insights from data. This role exists to translate business challenges into AI solutions, bringing to bear advanced analytics, machine learning, and statistical techniques to build predictive models and intelligent systems. The AI Data Scientist bridges data science theory and practical application, ensuring AI initiatives deliver measurable business impact. HOW YOU WOULD CONTRIBUTE: • Develop and implement machine learning and AI models to address business challenges, including prediction, classification, clustering, and optimization • Conduct exploratory data analysis to understand data patterns, identify features, and uncover insights • Build and complete experiments to validate hypotheses and measure model performance • Build, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn • Develop natural language processing (NLP) solutions for text analysis, sentiment analysis, and language understanding • Implement computer vision models for image and video analysis applications • Design and implement recommendation systems, forecasting models, and anomaly detection algorithms • Perform feature engineering and selection to improve model accuracy and performance • Evaluate model performance using appropriate metrics and techniques, addressing issues like overfitting and bias • Deploy machine learning models into production environments, working with MLOps teams and infrastructure • Monitor model performance in production and implement model retraining and updating strategies • Collaborate with data engineers to design data pipelines that support AI/ML workflows • Translate complex AI/ML concepts and results into clear insights for non-technical stakeholders • Know the latest AI/ML research, techniques, and tools, applying innovations to business problems • Document methodologies, models, and findings to ensure reproducibility and facilitate information exchange • Make decisions on model selection, algorithm choices, evaluation metrics, and deployment strategies Qualifications SKILLS AND BACKGROUND REQUIRED TO BE SUCCESSFUL: • 5+ years of progressive experience in data science and machine learning; demonstrated track record of developing and deploying AI models with measurable business impact • Machine learning and artificial intelligence algorithms and techniques • Programming in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn, pandas, NumPy) • Statistical analysis and experimental design • Data manipulation, cleaning, and preprocessing • Model development, evaluation, and optimization • Proven track record of developing and deploying AI/ML models that deliver business value • Deep understanding of supervised and unsupervised learning algorithms • Experience with model deployment and MLOps practices • Strong mathematical and statistical foundation • Ability to translate business problems into technical AI/ML solutions • Deep learning architectures (CNNs, RNNs, Transformers, GANs) • Natural language processing and large language models (LLMs) • Computer vision techniques and frameworks • Cloud AI/ML platforms (AWS SageMaker, Azure ML, Google Vertex AI) • Big data technologies (Spark, Hadoop) • Model interpretability and explainable AI (XAI) • A/B testing and experimentation frameworks • Domain expertise in specific industries (finance, healthcare, retail, etc.) Education • Minimum: Master's degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or related quantitative field • Preferred: PhD in Machine Learning, Artificial Intelligence, Computer Science, or related field; publications in AI/ML conferences or journals valuable • Certifications: AI/ML certifications (Google Cloud ML Engineer, AWS ML Specialty, Microsoft Azure AI Engineer) valuable • Equivalent Experience: Exceptional portfolio of AI/ML projects with 7+ years of hands-on experience and demonstrated expertise may substitute for advanced degree in rare cases #LI-AR1 #LI-REMOTE US Benefits Statement Herbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP). Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting. We can recommend jobs specifically for you! Click here to get started.

Position Type: Regular Full-Time External ID: 18651 Hiring Range: 135,400.00 to 156,100.00 USD Annually Share: share to e-mail Tweet share to twitter Share on Facebook share to facebook Share on LinkedIn share to linkedin Apply Now **Overview** **THE ROLE:** Drive business value through artificial intelligence and machine learning by developing, deploying, and optimizing AI models that tackle complex business problems and unlock insights from data. This role exists to translate business challenges into AI solutions, bringing to bear advanced analytics, machine learning, and statistical techniques to build predictive models and intelligent systems. The AI Data Scientist bridges data science theory and practical application, ensuring AI initiatives deliver measurable business impact. **HOW YOU WOULD CONTRIBUTE:** - Develop and implement machine learning and AI models to address business challenges, including prediction, classification, clustering, and optimization - Conduct exploratory data analysis to understand data patterns, identify features, and uncover insights - Build and complete experiments to validate hypotheses and measure model performance - Build, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn - Develop natural language processing (NLP) solutions for text analysis, sentiment analysis, and language understanding - Implement computer vision models for image and video analysis applications - Design and implement recommendation systems, forecasting models, and anomaly detection algorithms - Perform feature engineering and selection to improve model accuracy and performance - Evaluate model performance using appropriate metrics and techniques, addressing issues like overfitting and bias - Deploy machine learning models into production environments, working with MLOps teams and infrastructure - Monitor model performance in production and implement model retraining and updating strategies - Collaborate with data engineers to design data pipelines that support AI/ML workflows - Translate complex AI/ML concepts and results into clear insights for non-technical stakeholders - Know the latest AI/ML research, techniques, and tools, applying innovations to business problems - Document methodologies, models, and findings to ensure reproducibility and facilitate information exchange - Make decisions on model selection, algorithm choices, evaluation metrics, and deployment strategies **Qualifications** **SKILLS AND BACKGROUND REQUIRED TO BE SUCCESSFUL:** - 5+ years of progressive experience in data science and machine learning; demonstrated track record of developing and deploying AI models with measurable business impact - Machine learning and artificial intelligence algorithms and techniques - Programming in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn, pandas, NumPy) - Statistical analysis and experimental design - Data manipulation, cleaning, and preprocessing - Model development, evaluation, and optimization - Proven track record of developing and deploying AI/ML models that deliver business value - Deep understanding of supervised and unsupervised learning algorithms - Experience with model deployment and MLOps practices - Strong mathematical and statistical foundation - Ability to translate business problems into technical AI/ML solutions - Deep learning architectures (CNNs, RNNs, Transformers, GANs) - Natural language processing and large language models (LLMs) - Computer vision techniques and frameworks - Cloud AI/ML platforms (AWS SageMaker, Azure ML, Google Vertex AI) - Big data technologies (Spark, Hadoop) - Model interpretability and explainable AI (XAI) - A/B testing and experimentation frameworks - Domain expertise in specific industries (finance, healthcare, retail, etc.) **Education** - Minimum: Master's degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or related quantitative field - Preferred: PhD in Machine Learning, Artificial Intelligence, Computer Science, or related field; publications in AI/ML conferences or journals valuable - Certifications: AI/ML certifications (Google Cloud ML Engineer, AWS ML Specialty, Microsoft Azure AI Engineer) valuable - Equivalent Experience: Exceptional portfolio of AI/ML projects with 7+ years of hands-on experience and demonstrated expertise may substitute for advanced degree in rare cases \#LI-AR1 \#LI-REMOTE At Herbalife, we value doing what's right. We are proud to be an equal opportunity employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected characteristic. We value diversity, strive for inclusivity, and believe the differences among our teammates is a key contributor to Herbalife's ongoing success. Herbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability and an Employee Assistance Program (EAP). Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email your request to ******************************* . Share: share to e-mail Tweet share to twitter Share on Facebook share to facebook Share on LinkedIn share to linkedin

THE ROLE: Drive business value through artificial intelligence and machine learning by developing, deploying, and optimizing AI models that tackle complex business problems and unlock insights from data. This role exists to translate business challenges into AI solutions, bringing to bear advanced analytics, machine learning, and statistical techniques to build predictive models and intelligent systems. The AI Data Scientist bridges data science theory and practical application, ensuring AI initiatives deliver measurable business impact. HOW YOU WOULD CONTRIBUTE: * Develop and implement machine learning and AI models to address business challenges, including prediction, classification, clustering, and optimization• Conduct exploratory data analysis to understand data patterns, identify features, and uncover insights• Build and complete experiments to validate hypotheses and measure model performance • Build, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn• Develop natural language processing (NLP) solutions for text analysis, sentiment analysis, and language understanding• Implement computer vision models for image and video analysis applications• Design and implement recommendation systems, forecasting models, and anomaly detection algorithms• Perform feature engineering and selection to improve model accuracy and performance• Evaluate model performance using appropriate metrics and techniques, addressing issues like overfitting and bias• Deploy machine learning models into production environments, working with MLOps teams and infrastructure• Monitor model performance in production and implement model retraining and updating strategies• Collaborate with data engineers to design data pipelines that support AI/ML workflows• Translate complex AI/ML concepts and results into clear insights for non-technical stakeholders• Know the latest AI/ML research, techniques, and tools, applying innovations to business problems • Document methodologies, models, and findings to ensure reproducibility and facilitate information exchange • Make decisions on model selection, algorithm choices, evaluation metrics, and deployment strategies Qualifications SKILLS AND BACKGROUND REQUIRED TO BE SUCCESSFUL: * 5+ years of progressive experience in data science and machine learning; demonstrated track record of developing and deploying AI models with measurable business impact• Machine learning and artificial intelligence algorithms and techniques• Programming in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn, pandas, NumPy)• Statistical analysis and experimental design• Data manipulation, cleaning, and preprocessing• Model development, evaluation, and optimization• Proven track record of developing and deploying AI/ML models that deliver business value• Deep understanding of supervised and unsupervised learning algorithms• Experience with model deployment and MLOps practices• Strong mathematical and statistical foundation• Ability to translate business problems into technical AI/ML solutions• Deep learning architectures (CNNs, RNNs, Transformers, GANs)• Natural language processing and large language models (LLMs)• Computer vision techniques and frameworks• Cloud AI/ML platforms (AWS SageMaker, Azure ML, Google Vertex AI)• Big data technologies (Spark, Hadoop)• Model interpretability and explainable AI (XAI)• A/B testing and experimentation frameworks• Domain expertise in specific industries (finance, healthcare, retail, etc.) Education * Minimum: Master's degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or related quantitative field• Preferred: PhD in Machine Learning, Artificial Intelligence, Computer Science, or related field; publications in AI/ML conferences or journals valuable• Certifications: AI/ML certifications (Google Cloud ML Engineer, AWS ML Specialty, Microsoft Azure AI Engineer) valuable• Equivalent Experience: Exceptional portfolio of AI/ML projects with 7+ years of hands-on experience and demonstrated expertise may substitute for advanced degree in rare cases #LI-AR1 #LI-REMOTE US Benefits Statement Herbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP). Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting.

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges. In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India. We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career. Job Description: Proficiency in analytics-related computer languages SQL R and/or SAS Python, Java, or other general purpose language Degree or comparable experience in a quantitative field such as mathematics/statistics. Masters or PhD preferred Experience building analytical/predicative models, preferably in a business context (marketing, operations, finance, etc) Ability to research independently and improve existing and future models based upon latest findings in machine learning and statistics Working knowledge of the pay TV industry strongly preferred. Additional Information GOOD COMMUNICATION SKILLS DURATION: 6+Months Contract INTERVIEW: PHONE & SKYPE

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges. In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India. We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career. Job Description: Proficiency in analytics-related computer languages SQL R and/or SAS Python, Java, or other general purpose language Degree or comparable experience in a quantitative field such as mathematics/statistics. Masters or PhD preferred Experience building analytical/predicative models, preferably in a business context (marketing, operations, finance, etc) Ability to research independently and improve existing and future models based upon latest findings in machine learning and statistics Working knowledge of the pay TV industry strongly preferred. Additional Information GOOD COMMUNICATION SKILLS DURATION: 6+Months Contract INTERVIEW: PHONE & SKYPE

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your role will be pivotal in shaping our product strategy using robust scientific methodologies. Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on extensive datasets, you will measure outcomes, identify causal impacts, predict future performance, and design innovative data-driven solutions. In this role, you will Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions Apply statistical, machine learning and econometric models on large datasets to: measure results and outcomes identify causal impact and attribution predict future performance of users or products Design, implement and launch innovative data science solutions to empower data-driven decisions at scale Design, analyze, and interpret the results of experiments Develop key metrics and observability for Aven products Drive the collection of new data and the refinement of existing data sources Create analyses that tell compelling stories and inspire action We're looking for someone with 5+ years of data science experience with a track record of thought leadership and innovation A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences, or Economics) Expert knowledge of a scientific computing language (such as R or Python) and SQL Theoretical and applied expertise in statistics, machine learning and experimental design Excellent written and verbal communication skills Experience designing and implementing complex modeling solutions from ideation to production at scale Experience influencing high-impact decisions Strong project management and organizational skills

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 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 $90,000 to $120,000 per 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. The following job description contains representative examples of work that will be performed in positions allocated to this classification. It is not required that any position perform all of the duties listed, so long as primary responsibilities are consistent with the work as described. Roles and responsibilities can often be expanded to accommodate changing business conditions and goals, as well as to tap into the skills and talents of the individuals in the company. Accordingly, associates may be asked to perform duties that are outside the specific functions that are listed.

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 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 $90,000 to $120,000 per 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. The following job description contains representative examples of work that will be performed in positions allocated to this classification. It is not required that any position perform all of the duties listed, so long as primary responsibilities are consistent with the work as described. Roles and responsibilities can often be expanded to accommodate changing business conditions and goals, as well as to tap into the skills and talents of the individuals in the company. Accordingly, associates may be asked to perform duties that are outside the specific functions that are listed.

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.

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: Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, ML) and customer needs, and provide the data driven insight and scientific solutions. Here's what you'll be working on: Our team is responsible for: Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco's complex ML and bidding system to drive outcomes for customers. Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers Evaluating ads system health: understanding changes and drivers of our complex systems, and diagnosing issues through a set of input/output metrics of each component. Basic Qualifications Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. Provide strategic thought partnership to cross-functional teams, leveraging data-driven insights to influence and guide product decisions, roadmap prioritization, and overall business strategy. Excellent verbal and written communication skills, with ability to present information and analysis results effectively. Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models. Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr). Ability to build positive relationships within the DS team and with Product Management, Engineering stakeholders ;work effectively with cross-functional partners in a global company. 3+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master's or PhD in a quantitative discipline with 4+ years of experience. Bachelor's, Master's and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering). 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:$131,000-$165,000 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.

Scope: US, Customer Development Terms & Conditions: Full time, International sponsorship or relocation not supported If you are in the Ice Cream business or consider choosing to work for the The Magnum Ice Cream Company Ice Cream business, you will work for the Global, leading Ice Cream player with €7.9bn Turn Over in 2023. The Ice Cream business is operating in a highly attractive category, as we are part of the 1 trillion snacking and refreshment industry, growing consistently at high pace. We have strong brands equities: 5 of top 10 selling brands including Magnum and Ben & Jerry's. We are investing to unlock the full growth potential of Ice Cream as a standalone entity, once we separate from Unilever, which happened in December of 2025. Ice Cream has distinct characteristics from TMICC's other operating businesses and the growth potential of Ice Cream will be better delivered under a different ownership structure. As an Ice Cream company we are committed to developing and nurturing talent within. You will have ample options for career growth and exploration, allowing you for you to explore roles and opportunities across the new organization. Your career development will be a priority for us, and we are dedicated to supporting your growth journey within the new company. We hope that you will want to build the new chapter of our Ice Cream history together with us. ABOUT ICE CREAM: Life Tastes Better with Ice Cream TMICC Ice Cream is the largest global Ice Cream Company in the world, with over 100 years of experience delivering a diverse range of indulgent, yet responsible, craft food experiences and treats delighting consumers. Committed to innovation, quality, and sustainability we have 35 brands, including 3 one billion Euro brands (Magnum, Wall's, Ben & Jerry's), a strong presence in over 60 countries, generating annual revenue of over $8 billion. All brands are driven to transform moments into memories through indulgent yet responsibly made and marketed products. We have a well-developed strategy to deliver growth and value creation which is clear on where to play and how to win. We turn the ordinary into the extraordinary by designing unique and innovative Ice Cream experiences that make life taste better, creating joyful experiences. In our Ice Cream business, we're crafting the future through innovation and imaginative minds, creating unique products. We spark moments of happiness for people and within the communities where we operate. However, it is not as simple as it may seem. As Ice Cream makers we are serious about happiness. With warm hearts, we create the coolest products. JOB PURPOSE: The Customer Analytics Data Scientist will report to the Associate Director of CD Analytics and Insights and will be responsible for developing advanced analytical models and insights that empower the US Customer Development function to achieve its sales ambitions. In this role, you will have the opportunity to design and implement predictive and prescriptive analytics solutions that drive decision-making across sales, category management, shopper marketing, and channel strategy. This is a hands-on technical role with strong business integration. The ideal candidate not only has deep expertise in statistical modeling and machine learning but also thrives on partnering with commercial and customer development teams to translate complex data into actionable business stories. You will collaborate closely with data engineering to ensure models are seamlessly operationalized within our data ecosystem and brought to life through visualization and stakeholder engagement. KEY RESPONSIBILITIES: Work closely with business stakeholders to translate needs into well designed and executed technology products that are embedded into daily decision-making, with a focus on promotion optimization, syndicated and retailer data, demand forecasting, shopper marketing, digital commerce, and sales reporting Develop predictive and forecasting models (e.g., forecasting demand, pricing, promotions optimization, customer/shopper behavior) that drive commercial decision-making and business performance. Collaborate with data engineering to define consistent business logic and unified data definitions, consistent with how the business operates, that enable self-service analytics and integration across data products. Build advanced analytics capabilities including demand forecasting, promotion performance, assortment optimization, and shopper behavior modeling. Liase with local and global business and technology teams to define, manage, and enhance Magnum's Customer Development analytics capabilities Conduct advanced analytics analyses using data science, machine learning, and AI to uncover insights that generate tangible business value Communicate and deliver engaging data visualizations and data narratives that bring data to life for both technical & non-technical audiences, simplifying complex concepts and enabling decision-making across commercial teams Guide and lead squads or project teams, driving adoption of data science principles and best-in-class analytics approaches to deliver impactful solutions. WHAT YOU NEED TO SUCCEED: Technical aptitude and the ability to lead teams toward business-value focused technology solutions 6+ years of experience with cloud data platforms (Azure, AWS, GCP) and Databricks, with strong proficiency in SQL, PySpark, Python, and DAX for building high-performance data transformations and pipelines. Hands-on experience with Databricks, Azure Data Factory, Delta Lake, Power BI, Alteryx and related cloud data technologies. Proficient in machine learning frameworks and libraries including scikit-learn, TensorFlow, PyTorch, XGBoost Experience with data visualization tools like PowerBI, Tableau. Strong ability to communicate technical findings to non-technical audiences, turning data into actionable business narratives. Intellectual curiosity and strong analytic ability Preparedness to develop a deep understanding of business operations and needs for the Customer Development function Excellent planning, organization, and project estimation skills Strong understanding of the use and management of retailer and syndicated data Ability to work collaboratively with cross functional teams both locally and globally Ability to communicate and present complex topics clearly and compellingly to business stakeholders SKILLS: Strong understanding of data science principles and data visualization approaches Solid understanding of data modelling to support analytics and reporting use cases. Proficiency in coding languages such as Python, PySpark, DAX and SQL Ability to collect business requirements and translate into technical solutions Experience using tools like Databricks, Azure Data Factory, Power BI, and Alteryx Experience leveraging data sources such as Circana, Nielsen, panel data, and retailer data Ability to design intuitive and compelling front end business applications Data Engineering, Computer Science or study in related field. EXPERIENCES & QUALIFICATIONS: Required Experience applying data science, machine learning, and AI to business problems in Consumer Goods organizations Experience designing and implementing end-to-end data analyses and capabilities for a business focused audience Experience creating data visualization dashboards in tools such as PowerBI or Tableau Experience collecting business requirements and translating them into technology projects Experience working in a consumer goods organization Experience with the use and management of retailer and syndicated data (such as Circana, Nielsen) Preferred Experience in a consumer goods Customer Development function Experience with retailer data platforms such as Scintilla, SymphonyAI, 1010data and 84.51 Stratum Familiarity with Digital Commerce and Shopper Marketing data solutions Experience managing analytics teams Pay: The pay range for this position is $99,760 to $149,640. TMICC takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs. Bonus: This position is bonus eligible. Long-Term Incentive (LTI): This position is LTI eligible. Benefits: TMICC employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. #TMICC #TMICC ABOUT THE MAGNUM ICE CREAM COMPANY: With 19.000 expert ice cream colleagues and iconic brands like Wall's, Cornetto and Ben & Jerry's, loved in 76 countries, we are the world's largest Ice Cream company leading the industry We have been taking pleasure seriously for more than 100 years, serving happiness with every lick or scoop of ice cream for generations. The Magnum Ice Cream Company (formerly part of Unilever) is all about growth. Growing our business. Growing our customers' businesses. Growing our people's careers. Growth begins with empowerment. So we free our people to be innovative, responsible entrepreneurs, driven and equipped to give our consumers more amazing products and unforgettable moments - and having fun doing it. Here's what defines success in our organization : · We are all about growth · We operate with speed and simplicity · We win together with fun · We boldly innovate to disrupt our industry · We care and challenge · We are experts in the Ice Cream Category ARE YOU EXCITED TO CRAFT THE ICE CREAM FUTURE? Please apply online and do not forget to upload your CV. Your application will be reviewed against the requirements, and we will be in touch shortly after the closing date, with an update on the status of your application. The Magnum Ice Cream Company is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other characteristic protected by local, state, or federal law and will not be discriminated against on the basis of disability. For more information about your Federal rights, please see Know Your Rights: Workplace Discrimination is Illegal and Pay Transparency Non discrimination Provision. Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check. If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact your recruiter. Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses. The Protected Veterans or Individuals with Disabilities AAP narratives are available for inspection by any employee or applicant for employment Monday through Friday during normal business hours at establishment.

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.