We are looking for a passionate and results-driven
Data Scientist
to join our growing analytics and AI/ML team. The ideal candidate will bring hands-on experience in data exploration, model building, and deployment. You will work closely with cross-functional teams to deliver actionable insights and machine learning solutions that drive business value.
Key Responsibilities:
Collect, clean, and preprocess large datasets from various sources.
Perform exploratory data analysis and visualize patterns and trends.
Build and validate machine learning and statistical models.
Translate business problems into data science problems and solutions.
Communicate findings through reports, dashboards, and visualizations.
Collaborate with engineering and product teams to deploy data-driven solutions.
Stay updated with the latest tools, technologies, and industry trends.
Required Skills and Qualifications:
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
2 to 4 years of industry experience in data science, machine learning, or applied statistics.
Proficient in Python (NumPy, pandas, scikit-learn, matplotlib, etc.).
Solid understanding of supervised and unsupervised ML algorithms.
Experience with SQL and data querying from relational databases.
Familiarity with tools like Jupyter, Git, and cloud platforms (AWS/Azure/GCP) is a plus.
Exposure to model deployment and MLOps practices is desirable.
Strong analytical thinking and problem-solving skills.
Good communication and team collaboration abilities.
Nice to Have:
Experience with NLP, computer vision, or time-series analysis.
Knowledge of Big Data tools (Spark, Hadoop).
Experience with data visualization libraries (Seaborn, Plotly, Power BI, Tableau).
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