Lead Data Scientist ? Retail Analytics

Danta Technologies is hiring a Lead Data Scientist - Retail Analytics. This position is located in San Francisco, California, and this position requires On-site presence. I'd like you to go through the job description for your reference. If you are interested, please apply here.

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:

1. Business-impactful analytics in retail

2. Technical depth (ML, pipelines, visualization)

3. Leadership and stakeholder management

What the Client is Exactly Looking For:-

1. Leadership in Data Science & Analytics

• Lead and mentor a team of data scientists and analysts.

• Own end-to-end analytics and ML project delivery.

• Be the go-to expert in analytics for retail domain use cases.

2. Domain Expertise: Retail

• Strong understanding of retail functions:

  • Merchandising

  • Pricing

  • Supply chain

  • Customer behavior

  • Omnichannel analytics

• Proven experience applying analytics to:

  • Forecasting

  • Pricing & promotions

  • Segmentation & churn prediction

  • Inventory optimization

3. Hands-on Technical Skills

• Required:

  • ADF (Azure Data Factory)

  • SQL (specifically DataOps practices)

  • Python

  • DevOps (especially in a data or ML pipeline context)

• Preferred:

  • Spark, R, Databricks

  • Data visualization: Power BI, Tableau, Looker

  • Cloud platforms: Azure, AWS, Google Cloud Platform

  • MLOps practices (CI/CD for ML models, model monitoring, etc.)

4. Business Acumen & Stakeholder Influence

• Translate business needs into data products.

• Communicate insights and model outputs in business terms.

• Drive data adoption and strategic decision-making.

5. Project & People Management

• Experience in Agile/SAFe environments.

• Lead cross-functional collaboration with data engineering, product, and business teams.

• Deliver results in production environments not just prototypes.

Job Summary:
We are looking for an experienced Data Science & Analytics Lead to drive data-driven decision-making and advanced analytics initiatives in the retail domain. This onsite role will work closely with business stakeholders, product teams, and data engineering to deliver actionable insights, predictive models, and AI/ML-powered solutions aligned with retail business goals.

Key Responsibilities:

• Lead data science and analytics initiatives across core retail functions, ike 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.
• Drive adoption of analytics tools and platforms across the organization (e.g., dashboards, self-service BI, ML platforms).

• 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
• Assortment & space planning
• Hands-on experience with data visualization tools like Power BI, Tableau, or Looker.
• Familiarity with cloud ecosystems (Azure, AWS, or Google Cloud Platform) and MLOps practices is a plus.
• Strong business acumen and ability to influence stakeholders with data

• 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.

Certifications in data science, cloud platforms, or analytics tools are a plus.

Notes:- 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.

Benefits: 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.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.