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Data Scientist

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Onsite

Data Scientist

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Data Scientist

Skills

Google Cloud PlatformSQL QueriesTableauPythonData ScienceNumPypandasRGitData AnalysisMachine LearningAIAWSPower BIAzure

4 months ago

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Important information


Contract type:

Permanent

Location:

Faridabad, Haryana, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Required Skills Qualifications . Bachelors degree in data science,Statistics,Mathematics,Computer Science,or related field with 4-6 years of exposure and experience in Data Science workflow
  • Basic understanding of statistics and ML concepts . Soft Skills . Strong problem-solving and analytical mindset . Good communication and storytelling with data .

Job description - Data Scientist

Job Title: Data Scientist

Experience Required: 4 Years to 6 Years

Qualification: B.Tech / B.E. in Any Specialization, B.Sc in Mathematics, Artificial Intelligence and Data Science, Mathematics And Computer Applications, Statistics, Science, Artificial Intelligence, IT Data Analytics

Job Location: Gurgaon / Work from Office

Role Summary:

We are seeking a motivated and analytical India Data Scientist - III to support our analytics initiatives by transforming data into actionable insights The India Data Scientist - III supports analytical and modelling efforts by performing data preparation, exploratory analysis, and basic model development under guidance. This role is ideal for early-career professionals looking to build strong fundamentals in data science. The ideal candidate will assist in data preparation, analysis, and model development while collaborating with business and technical teams to solve real-world problems using data.

Key Responsibilities

  • Perform data cleaning, validation, and exploratory data analysis (EDA)
  • Develop basic statistical and machine learning models with supervision
  • Write efficient SQL queries to extract and analyze data
  • Create standard reports, dashboards, and visualizations
  • Assist in feature engineering and model testing
  • Document analysis steps and assumptions
  • Support senior team members in ongoing projects
  • Collect, clean, and preprocess structured and unstructured datasets
  • Perform exploratory data analysis (EDA) to identify trends and patterns
  • Validate data accuracy, completeness, and consistency
  • Support development of basic statistical and machine learning models
  • Assist in feature engineering and model evaluation
  • Translate analytical results into business insights
  • Create dashboards and reports using tools like Power BI / Tableau / Excel.
  • Present findings clearly to technical and non-technical stakeholders.
  • Work closely with business, IT, and senior analytics teams.
  • Document methodologies, assumptions, and outcomes.
  • Support ongoing analytics and automation initiatives.

Required Skills Qualifications

Bachelors degree in data science, Statistics, Mathematics, Computer Science, or related field with 4-6 years of exposure and experience in Data Science workflow. Owns medium-complexity ML/data projects end-to-end, Drives experimentation, model tuning, and impact measurement, Translates business problems into analytical solutions Mentors junior scientists.

Technical Skills

Python / R (pandas, NumPy, Sklenar preferred)

SQL for data querying

Power BI / Tableau / Excel for visualization

Basic understanding of statistics and ML concepts

Soft Skills

Strong problem-solving and analytical mindset

Good communication and storytelling with data

Eagerness to learn and adapt

Nice to Have

Exposure to cloud platforms (Azure / AWS / GCP)

Experience with Git / version control

Familiarity with business domains like Finance Operations

Success Indicators

Quality and accuracy of analysis

Speed of learning and skill improvement

Adherence to coding and data standards

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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