Data Scientist

Job Description: Data Scientist

Job Overview

We are seeking a highly analytical and data-driven Fresher to join our analytics team as a Data Scientist at our office in Taramani, Chennai. If you have a solid foundation in statistical modeling, predictive analytics, and machine learning algorithms, love working with large datasets, and can start immediately, this is the perfect opportunity to kickstart your data science career.

Key Information

·         Position: Data Scientist

·         Experience: Freshers (0 - 1 year experience / Academic projects or internships are highly valued)

·         Location: Taramani, Chennai (In-Office)

·         Joining Status: Immediate Joiners Only (Max 7 days notice period)

·         Monthly Salary: ₹55,000 to ₹65,000 per month

·         Annual Compensation (CTC): ₹6,60,000 to ₹7,80,000 Per Annum (6.6 LPA - 7.8 LPA)

Key Responsibilities

·         Clean, preprocess, and structure large volumes of raw data from multiple sources to prepare them for analysis.

·         Build, evaluate, and deploy predictive and prescriptive models using standard machine learning techniques.

·         Conduct Exploratory Data Analysis (EDA) to discover hidden patterns, trends, and actionable insights.

·         Create interactive data visualizations and business intelligence reports to present complex findings clearly to stakeholders.

·         Collaborate closely with engineering and product teams to integrate analytical models into production systems.

·         Document data pipelines, methodologies, and model performances clearly and systematically.

Required Skills & Qualifications

·         Programming: Exceptional proficiency in Python or R for data manipulation and analysis.

·         Libraries & Frameworks: Hands-on experience with Pandas, NumPy, Scikit-Learn, Matplotlib, or Seaborn.

·         Databases: Solid understanding of SQL queries to extract and manage data from relational databases.

·         Mathematics & Stats: Strong foundational grasp of linear algebra, calculus, probability, and hypothesis testing.

·         Visualization Tools: Exposure to tools like Tableau, Power BI, or Python-based visualization libraries is a plus.

·         Education: B.E. / B.Tech / MCA / M.Sc in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.

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