<ul>
<li style="margin-left:0px;">More than 6 years of experience in Data Engineering, Data Science and AI / ML domain</li>
</ul>

<ul>
<li style="margin-left:0px;">Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience in Cloud native skills.</li>
</ul>

<ul>
<li style="margin-left:0px;">Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset</li>
</ul>

<ul>
<li style="margin-left:0px;">Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra)</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.</li>
</ul>

<ul>
<li style="margin-left:0px;">Great communication and presentation skills. Should have experience in working in a fast-paced team culture.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases</li>
</ul>

<ul>
<li style="margin-left:0px;">Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.</li>
</ul>

<ul>
<li style="margin-left:0px;">Should be a data-oriented person with analytical mind and business acumen.</li>
</ul>

Data Scientist in Mumbai (UID-9375)

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Job Description for Data Scientist

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