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Job Description & How to Apply Below
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:
IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics.
Our real-world practitioners work collaboratively to deliver future-focused outcomes.
Role:
Data Scientist
Exp: 5+ years
Responsibilities:
Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies.
Design and evaluate experiments (A/B tests, multi-armed bandits, contextual bandits) to enable data-driven decision-making.
Assess competitive pricing trends, market dynamics, and customer behavior to generate strategic insights and drive business growth.
Build and maintain scalable data pipelines with a focus on code quality, reproducibility, and best practices for deployment.
Utilize cloud platforms (AWS, GCP, or Azure) to efficiently process and model large-scale datasets.
Collaborate across teams and clearly communicate insights to both technical and non-technical stakeholders, shaping strategy at the leadership level.
Qualifications:
Education:
Bachelor’s degree in Applied Math, Computer Science, Statistics, Engineering, or a related field (Master’s or Ph.D. strongly preferred).
Experience:
5+ years of experience in Data Science, Machine Learning, or Applied Econometrics.
Proven track record developing predictive and causal inference models, preferably in pricing, marketplace, or supply chain contexts.
Experience with experimental design and statistical inference in real-world business settings.
Technical
Skills:
Proficiency in Python (pandas, Num Py, Sci Py, scikit-learn, Tensor Flow/PyTorch preferred).
Strong SQL skills and experience querying large-scale data platforms (e.g., Snowflake, Redshift).
Familiarity with scientific software principles (version control, reproducibility, testing).
Experience with cloud computing (AWS preferred).
Business & Communication:
Ability to translate data insights into business recommendations.
Strong communication skills, comfortable presenting technical findings to executive stakeholders.
Preferred Qualifications:
Experience in the Manufacturing or Logistics Industry: Familiarity with the unique challenges and opportunities within these industries.
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