Job description:

About HCLTech
HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.
Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit www.hcltech.com


Job Title: Data Science & Analytics Lead
Location: San Francisco, CA (Onsite from day 1, remote not allowed)
Full-Time role

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 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.
Drive adoption of analytics tools and platforms across the organization (e.g., dashboards, self-service BI, ML platforms).

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