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Infogain
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Data Science Analyst (Lead)

Data Science Analyst (Lead)

Infogain

5 years

3 - 4 Lacs

Noida

Posted:3 days ago| Platform: GlassDoor logo

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Skills Required

data statistics mathematics learning python numpy tensorflow sql relational azure pipeline algorithms model evaluation communication storytelling logistics marketing mlflow visualization tableau power development design pricing analysis testing engineering leadership presentation collaboration

Work Mode

On-site

Job Type

Part Time

Job Description

ROLES & RESPONSIBILITIES

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)