Role: Principal Data Scientist - Commercial Analytics
Title: Senior Lead, Principal Data Scientist / Associate Director - Data Science
Location: NY / NJ (USA)
Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success
Desired Experience :
- 8–12 years of overall experience.
- 3+ years in consulting or client-facing analytics roles.
- 3+ years of experience in CPG or adjacent commercial analytics environments.
- Proven experience engaging with senior stakeholders and leading client conversations.
- Strong track record in data science, statistics, and machine learning
Role & Responsibilities :
- Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions
- Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC).
- Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders
- Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities.
- Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI
- Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
- Perform a role that involves a combination of hands-on contribution and customer engagement
- Contribute to organization building through training, mentoring, and developing repeatable analytic approaches
Primary Skills (Mandatory)
- Strong foundation in ML and statistical concepts.
- Proficiency in SQL, Python, and PySpark.
- Experience with Snowflake, BigQuery, Azure, AWS, or Databricks.
- Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics.
- Ability to convert rigorous analysis into strategic recommendations.
- Strong project management, communication, and team leadership skills
- Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space
Secondary Skills (Good to have):
- Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics.
- Data engineering / MLOps experience.
- Dashboarding experience with Power BI or Tableau
- Exposure to Agentic AI / LLMs or any other Gen AI capabilities
Note:
By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.Skills Required
- 8-12 years of overall experience
- 3+ years in consulting or client-facing analytics roles
- 3+ years of experience in CPG or adjacent commercial analytics environments
- Strong foundation in ML and statistical concepts
- Proficiency in SQL, Python, and PySpark
- Experience with Snowflake, BigQuery, Azure, AWS, or Databricks
- Strong project management, communication, and team leadership skills
What We Do
Sigmoid is a leading data engineering and AI solutions company that helps enterprises gain a competitive advantage with effective data-driven decision-making. Our team is strongly driven by the passion to unravel data complexities. We generate actionable insights and translate them into successful business strategies. We leverage our expertise in open-source and cloud technologies to develop innovative frameworks catering to specific customer needs. Our unique approach has positively influenced the business performance of our Fortune 500 clients across CPG, retail, banking, financial services, manufacturing, and other verticals. Backed by Sequoia Capital, Sigmoid has offices in New York, San Francisco, Dallas, Lima, Amsterdam, and Bengaluru. We are recognized among the world's fastest growing and innovative tech companies, winning several awards and recognition like the Deloitte Technology Fast 500, Financial Times- The Americas’ Fastest Growing Companies, Inc. 5000, Great Place To Work- India’s Best Leaders in Times of Crisis, Data Breakthrough, Aegis Graham Bell, TiE50, NASSCOM Emerge 50, and others. Learn more: https://www.sigmoid.com/ or https://sigmoid.com/careers/ for careers.
