Job Description
Qualifications and Skills: Master s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.
5+ years of hands-on experience in data science or machine learning roles.
Strong proficiency in Python or R, with deep knowledge of libraries like scikit-learn, pandas, NumPy, TensorFlow, or PyTorch.
Proficient in SQL and working with relational databases.
Solid experience with Azure cloud platforms and data pipeline tools.
Strong grasp of statistical methods, machine learning algorithms, and model evaluation techniques.
Excellent communication and storytelling skills with the ability to influence stakeholders.
Proven track record of delivering impactful data science solutions in a business setting.
Preferred Qualifications:
Experience working in industries such as [logistics, aerospace, marketing, etc.].
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow).
Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly).
Responsibilities and Duties
Model Development: Design, build, and deploy scalable machine learning models to solve key business challenges (e.g., customer churn, recommendation engines, pricing optimization).
Data Analysis: Perform exploratory data analysis (EDA), statistical testing, and feature engineering to uncover trends and actionable insights.
Project Leadership: Lead end-to-end data science projects, including problem definition, data acquisition, modeling, and presentation of results to stakeholders.
Cross-functional Collaboration: Partner with engineering, product, marketing, and business teams to integrate models into products and processes.
Mentorship: Guide and mentor junior data scientists and analysts, helping them grow technically and professionally.
Innovation: Stay current with the latest data science techniques, tools, and best practices. Evaluate and incorporate new technologies when appropriate.
Communication: Translate complex analyses and findings into clear, compelling narratives for non-technical stakeholders.
EXPERIENCE
SKILLS
- Primary Skill: Data Science
- Sub Skill(s): Data Science
- Additional Skill(s): Data Science
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Pune
Keyskills:
Computer science
Data analysis
data science
Project leadership
Machine learning
data visualization
Product marketing
SQL
Logistics
Python
