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Infogain
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Data Science Analyst (Lead)

Data Science Analyst (Lead)

Infogain

8 - 11 years

11 - 15 Lacs

Noida

Posted:1 day ago| Platform:

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Skills Required

Computer science Data analysis data science Project leadership Aerospace Machine learning Product marketing SQL Python Logistics

Work Mode

Work from Office

Job Type

Full Time

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

8-11 Years

SKILLS

Primary Skill: Data Science
Sub Skill(s): Data Science
Additional Skill(s): Data Science

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Data Science Analyst (Lead)