Lead Data ScientistRetail Analytics

Danta Technologies is hiring a Lead Data Scientist – Retail Analytics. This position is located in San Francisco, California, and requires On-site presence. Only independent candidates with valid U.S. work authorization are eligible for this position. Title: Lead Data Scientist – Retail Analytics Location: San Francisco, California - Onsite Duration: Contract 6+ months and possibility for extension

- This duration is subject to changes based on the project's requirement and/or the client's sole discretion. Client Industry: Retail Pay Rate: $50/hr - $52/hr on W2 All Inclusive Danta Technologies payroll Ideal candidate : A senior-level, hands-on data science professional with

retail-specific analytics expertise , leadership experience, strong

Python + SQL + DevOps + ADF

skills, and the ability to build and deploy ML models in cloud environments. Top 3 Focus Areas Business-impactful analytics in retail Technical depth (ML, pipelines, visualization) Leadership and stakeholder management What the Client is Exactly Looking For: Domain Expertise: Retail Hands-on Technical Skills Business Acumen & Stakeholder Influence Project & People Management Key Responsibilities: Lead data science and analytics initiatives across core retail functions, like merchandising, pricing, supply chain, customer behavior, marketing, and omnichannel operations. Collaborate with business leaders to define analytics use cases and translate them into high-impact solutions. Build, deploy, and manage machine learning models and statistical algorithms for forecasting, segmentation, recommendations, and optimization. Interpret and present analytical findings in business-friendly terms, driving adoption of insights and models. Work closely with data engineering teams to ensure data availability, quality, and proper pipeline design. Lead and mentor junior data scientists and analysts, fostering a culture of experimentation and innovation. Primary Skills: Strong expertise in data science, machine learning, and statistical modeling. Proficiency in tools and languages such as Python, R, SQL, Spark, and Databricks. Experience with retail analytics use cases such as sales & demand forecasting, price & promotion analytics, customer segmentation & churn prediction, inventory & supply chain optimization, and assortment & space planning. Hands-on experience with data visualization tools like Power BI, Tableau, or Looker. Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. 12 years of experience in analytics or data science, preferably in the retail domain. Proven track record in leading data science projects from ideation to production. Experience working in Agile/SAFe environments and collaborating with cross-functional teams. Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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