DATA SCIENTIST - Machine Learning

Job Summary

We are looking for a skilled Machine Learning / Data Analyst Engineer with 3-4 years strong expertise in SQL, Python, and machine learning algorithms. The candidate will be responsible for data analysis, model development, and supporting data-driven decision-making across the project lifecycle.

Primary Skills & Responsibilities

• Strong hands-on experience with SQL for data extraction, transformation, and analysis.
• Solid understanding of Machine Learning concepts and algorithms, including:
• Regression & Time Series & Forecasting algos experience (good to have in in past 1-2 years of exp)
• Linear Regression
• Logistic Regression
• Forecasting Algorithms
• Experience in implementing machine learning models and validating their performance.
• Basic understanding of statistics
• Proficient in Python (Pandas, Data Wrangling, Transformation.. etc)
• Strong working knowledge of Python data analysis libraries, especially Pandas.
• Excel skills (7 on scale of 10)
• Ability to clean, preprocess, and analyze large datasets.
• Interpret analytical results and present insights clearly to stakeholders.

Secondary Skills

• Experience with Git for version control.
• Familiarity with GitHub and GitHub Actions for CI/CD workflows and code management.

Must Have

• Statistical, Regression modeling
• Forecasting, Time series analysis, SQL
• Statistics, Python, Excel - On scale of 10 should be 7 to 9
• Analytical thinking & Interpret results
• Problem Solving skills

Good to Have

• Basic knowledge of data visualization tools.
• Understanding of software development lifecycle (SDLC).
• Ability to work collaboratively with cross-functional teams.

Key Competencies

• Experience 3-4 years
• Strong analytical and problem-solving skills.
• Attention to detail and data accuracy.
• Good communication and documentation skills.
• Ability to work independently with minimal supervision.

SQL, Python, Statistical Modelling, Pandas