We are looking for a skilled Data Scientist with robust experience in classical machine learning, regression modeling, and statistical analysis. The ideal candidate should have hands-on experience working with structured/tabular datasets and be able to translate data insights into actionable business solutions.
You will collaborate with cross-functional teams to build predictive models, analyze data trends, and communicate findings effectively to both technical and non-technical stakeholders.
Key Responsibilities
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Develop, train, and deploy machine learning models to solve business problems.
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Perform data cleaning, preprocessing, and feature engineering on structured datasets.
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Apply statistical techniques such as hypothesis testing, probability analysis, and correlation studies.
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Build and validate regression and predictive models using machine learning techniques.
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Analyze large datasets to extract actionable insights.
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Work closely with product, engineering, and business teams to understand requirements.
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Communicate model performance, insights, and recommendations to stakeholders in a clear and concise manner.
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Continuously improve models through experimentation and evaluation.
Required Skills & Qualifications
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3+ years of experience as a Data Scientist or in a similar role.
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Strong expertise in classical machine learning algorithms and regression modeling.
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Solid understanding of statistics including:
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Probability
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Statistical distributions
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Hypothesis testing
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Correlation analysis
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Proficiency in Python and key data science libraries:
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scikit-learn
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pandas
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NumPy
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Experience working with structured/tabular data.
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Strong analytical thinking and problem-solving skills.
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Ability to explain complex models and results to non-technical stakeholders.