Senior Data Scientist – Campaign Me...

Web Spiders is seeking a highly skilled and motivated Senior Data Scientist with expertise in AI and campaign measurement to join their dynamic Data Science team in Kolkata, West Bengal. This role is crucial for a project supporting a U.S.-based consumer purchase insights company that utilizes real-time transaction data and advanced AI-driven analytics. The objective is to empower brands, marketers, and financial institutions to deeply understand consumer spending habits and drive business growth.

The Data Science team is at the forefront of transforming raw credit card transaction data into structured, usable information. This involves developing and implementing sophisticated statistical and machine learning models for data cleaning, normalization, and transformation. Key responsibilities include building robust panels, cohorts, balancing, and calibration methodologies to enhance data usability and power ad-tech and mar-tech products at scale. The team enables clients to accurately measure marketing campaign effectiveness, uncover consumer spend behavior insights, and inform competitive strategies.

In this role, you will collaborate closely with data scientists and engineers in the U.S. to enhance data usability across a spectrum of challenges, including paneling, normalization, balancing, and predicting future spending behaviors with a focus on cost-effectiveness. You will also apply these methodologies to solve specific client challenges, such as identifying emerging consumer category trends.

Experience Level: 4+ Years

Location: Kolkata (Rajarhat–Newtown)

Mode of Working: Work from Office

Required Qualifications:

• An advanced degree in Statistics, Operations Research, Mathematics, Computer Science, Economics, or a related quantitative field with a strong foundation in statistical modeling.
• A minimum of 4 years of relevant industry experience.
• Deep understanding of statistical reasoning, machine learning fundamentals, and data modeling techniques.
• Demonstrated ability to translate business problems into practical and effective modeling and analytical solutions.
• Strong software engineering and data engineering skills, with solid experience in Python and SQL, and the ability to write production-quality code.
• Experience building scalable data pipelines on cloud platforms like Snowflake, Amazon Redshift, and utilizing data lakes such as Amazon S3 for efficient data processing.
• Possess an entrepreneurial spirit, be highly self-motivated, collaborative, meticulous, capable of rapid learning, and skilled in prioritizing and executing tasks effectively in a demanding environment. Ability to independently drive projects to completion.
• Excellent communication skills (verbal, written, and presentation).

Duties and Responsibilities:

• Conduct research and development to evaluate and implement new statistical modeling methodologies, including data balancing, projection, cross-sectional analysis, and predictive modeling within client products.
• Optimize algorithms for cost-effective execution at scale.
• Clearly communicate methodologies and findings to management, clients, and non-technical stakeholders.

Preferred Qualifications:

• Background in the Retail industry and hands-on experience with retail purchase data.

Benefits:

• Competitive salary and performance-based bonuses.
• Opportunity to work on exciting and challenging projects at the cutting edge of technology.
• Process-oriented appraisals.
• Support for professional development and training.
• Rewarding Buddy-Referral Program.
• A collaborative and inclusive work environment.
• Complimentary breakfast, evening snacks, and subsidized lunch at the office.

Interview Process:

• Application review.
• 5–10 minute initial screening call with the Talent Acquisition team.
• Practical test conducted in the presence of a panel member.
• Technical interviews (domain-specific).
• Role match and offer.