Responsibilities

1) Collect, clean, and analyze large datasets to derive business insights.

2) Build predictive models and machine learning algorithms.

3) Collaborate with product and engineering teams to deploy solutions.

4) Create dashboards and visualizations to communicate findings.

5) Stay updated on data science advancements and industry practices.

Qualifications

1) Bachelor’s/Master’s in Computer Science, Statistics, or related field.

2) 3–6 years of data science experience.

3) Strong skills in Python/R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

4) Experience with big data tools (Hadoop, Spark) and cloud platforms.

5) Excellent communication and problem-solving abilities.