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

Work arrangement
No