Skills and Experience 

<ul>
<li>Work experience of 4+ years of experience in applied data science, analytics, or ML engineering.</li>
</ul>

<ul>
<li>Strong math or statistics background, specifically strong grasp of descriptive and probabilistic theories, sampling. </li>
</ul>

<ul>
<li>Strong analytic and problem-solving skills, understanding and experience in application of AI methodologies for data manipulation and insight. </li>
</ul>

<ul>
<li>Experience in building and execution of advanced solutions for audience analytics and insights.</li>
</ul>

<ul>
<li>Strong SQL skills and comfort working with large-scale, multi-source data.</li>
</ul>

<ul>
<li>Experience with version control (Git) and collaborative coding workflows.</li>
</ul>

<ul>
<li>Advanced Python skills, incl. pandas, Numpy, scikit-learn, SciPy, stats models for modelling and analytics.</li>
</ul>

Solid understanding of predictive modelling, feature selection, and model evaluation (AUC, lift, calibration, etc.).

<ul>
<li>Experience with gradient boosting methods (xgboost, lightgbm, or cat boost).</li>
</ul>

<ul>
<li>Experience with Power BI or other data visualization tools especially geo coded data is a big plus. </li>
</ul>

<ul>
<li>Sufficient knowledge of data governance practices including data QA, general naming taxonomy, data &amp; platform integration, etc. </li>
</ul>

<ul>
<li>Ability to foster collaborative relationships with cross-functional team.</li>
</ul>

<ul>
<li>Excellent written, oral, and presentation communication.</li>
</ul>

<ul>
<li>Ability to communicate analytical findings to non-technical stakeholders clearly and impactfully. </li>
</ul>

Data science

India

Skills and Experience Work experience of 4+ years of experience in applied data science, analytics, or ML engineering. Strong math or statistics background, specifically strong grasp of descriptive and probabilistic theories, sampling. Strong analytic and problem-solving skills, understanding and experience in application of AI methodologies for data manipulation and insight. Experience in building and execution of advanced solutions for audience analytics and insights. Strong SQL skills and comfort working with large-scale, multi-source data. Experience with version control (Git) and collaborative coding workflows. Advanced Python skills, incl. pandas, Numpy, scikit-learn, SciPy, stats models for modelling and analytics. Solid understanding of predictive modelling, feature selection, and model evaluation (AUC, lift, calibration, etc.). Experience with gradient boosting methods (xgboost, lightgbm, or cat boost). Experience with Power BI or other data visualization tools especially geo coded data is a big plus. Sufficient knowledge of data governance practices including data QA, general naming taxonomy, data &amp; platform integration, etc. Ability to foster collaborative relationships with cross-functional team. Excellent written, oral, and presentation communication. Ability to communicate analytical findings to non-technical stakeholders clearly and impactfully.

Data science · Mumbai

Job highlights

Skillset required

Job Description

Job Description for Data science

More at TATACON