Your Role

● Work closely with business teams to identify, define, collect and track key business metrics and inform strategic decisions

● Design and run data-backed experiments to improve process efficiency and create systems to capture them

● Tool and fetch data required to conduct business analysis, build and automate reports and dashboards to monitor business performance and generate business insights

● Collaborate with functional leaders in Marketing, Procurement, Assortment strategy and Operations to build &amp; execute data-driven forecasting models/methods.

● Wear the Zepto badge with pride. We are looking for owners – not employees. We want everyone to be passionate about our mission and serve as a culture carrier. 
Qualifications
Background

<ul>
<li style="margin-left:1.6rem;">Bachelor's in Engineering, Mathematics or Statistics from a reputed institute</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">2+ years of experience in a relevant role</li>
</ul>

Required Competencies

<ul>
<li style="margin-left:1.6rem;">A sound ML engineer combines critical pieces of engineering with the reality of a data scientist's life. </li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Ability to architect ML engineering pipelines and tools. </li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Ability to experiment with different metrics to solve complex problems</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Exceptional communication skills (Written/Verbal)</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Ability to Independently plan and Execute deliverables</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Ability to multitask and work on a diverse range of requirements</li>
</ul>

Technical Capabilities

<ul>
<li style="margin-left:1.6rem;">Must have hands-on experience in Python and Scala.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Experience in building end-to-end ML and data science solutions at a platform level is required.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Ability to apply software engineering best practices and rigour to ML pipelines, including automation, CI/CD, etc. Must be capable of working with AWS and MLOps tools. Experience in integrating monitoring solutions in ML applications is also required.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Experience training large neural networks with machine learning frameworks like PyTorch or TensorFlow. Hands-on experience managing or provisioning GPU/CPU clusters or other large-scale cloud or Linux/Unix systems is necessary.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Must be able to identify and evaluate new technologies that can improve machine learning solutions' performance, maintainability, and reliability.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Capability to preprocess structured and unstructured data, present information using data visualisation techniques, propose solutions and strategies to business challenges, and collaborate with engineering and product development teams.</li>
</ul>

<ul>
<li style="margin-left:1.6rem;">Most importantly, the ability to learn and embrace the generalist aspect of the role to pick tasks in ML, Software Engineering, Data Engineering, DevOps or Data Science. </li>
</ul>

Senior Data Scientist in Mumbai (UID-6634)

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Job Description for Senior Data Scientist

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