Danta Technologies
Lead Data Scientist Retail Analytics
Danta Technologies, San Francisco, California, United States, 94199
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Lead Data Scientist – Retail Analytics
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Danta Technologies 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. 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. 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). 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 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 Assortment & space planning
Hands-on experience with data visualization tools like Power BI, Tableau, or Looker. Familiarity with cloud ecosystems (Azure, AWS, or GCP) and MLOps practices is a plus. Strong business acumen and ability to influence stakeholders with data 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. 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. 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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Lead Data Scientist – Retail Analytics
role at
Danta Technologies 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. 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. 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). 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 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 Assortment & space planning
Hands-on experience with data visualization tools like Power BI, Tableau, or Looker. Familiarity with cloud ecosystems (Azure, AWS, or GCP) and MLOps practices is a plus. Strong business acumen and ability to influence stakeholders with data 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. 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. 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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