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Happiest Minds Technologies - Data Scientist - Machine Learning

Happiest Minds Technologies
3 - 5 Years
Others

Posted on: 27/07/2026

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Job Description

Job Summary:

We are looking for a skilled Machine Learning / Data Analyst Engineer with 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:

1. Regression & Time Series & Forecasting algos experience (good to have in past 1-2 years of exp)

2. Linear Regression

3. Logistic Regression

4. 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:

- Strong analytical and problem-solving skills.

- Attention to detail and data accuracy.

- Good communication and documentation skills.

- Ability to work independently with minimal supervision.

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