ROLES &amp; RESPONSIBILITIES 

<ul>
<li>Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools</li>
</ul>

<ul>
<li>Effectively communicate the analytics approach and how it will meet and address objectives to business partners</li>
</ul>

<ul>
<li>Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems</li>
</ul>

<ul>
<li>Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers</li>
</ul>

<ul>
<li>Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products</li>
</ul>

<ul>
<li>Engineer features by using their business acumen to find new ways to combine disparate internal and external data sources</li>
</ul>

<ul>
<li>Share their passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards</li>
</ul>

<ul>
<li>Collaborate, coach, and learn with a growing team of experienced Data Scientists</li>
</ul>

<ul>
<li>Stay connected with external sources of ideas through conferences and community engagements</li>
</ul>

DESIRED SKILLS 

<ul>
<li>Bachelor’s degree required, MS or PhD preferred</li>
</ul>

<ul>
<li>Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience</li>
</ul>

<ul>
<li>Must have Python proficiency working with DataFrames</li>
</ul>

<ul>
<li>Must have proficiency writing complex SQL queries</li>
</ul>

<ul>
<li>Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets</li>
</ul>

<ul>
<li>Must have proven ability to merge and transform disparate internal &amp; external data sets together to create new features</li>
</ul>

<ul>
<li>Experience with Big Data technologies desired — Spark, Cloud AI platforms, containerization</li>
</ul>

<ul>
<li>Experience with supporting deployment, monitoring, maintenance and enhancement of models desired</li>
</ul>

<ul>
<li>Experience with data visualization tools preferred — Tableau, Plotly, etc.</li>
</ul>

Digital Experience/Individual Skills

<ul>
<li>Exceptional communication and collaboration skills to understand business partner needs and deliver solutions</li>
</ul>

<ul>
<li>Bias for action, with ability to deliver outstanding results through task prioritization and time management</li>
</ul>

<ul>
<li>Demonstrated ability to efficiently learn and solve new business domains and problems</li>
</ul>

<ul>
<li>Number sense; healthy skepticism around validity of data and its inherent biases</li>
</ul>

<ul>
<li>Intellectual curiosity to understand and answer questions</li>
</ul>

<ul>
<li>Intellectual humility to leverage the expertise of others</li>
</ul>

<ul>
<li>Exemplary organizational skills with attention to detail &amp; accuracy</li>
</ul>

<ul>
<li>Ability to coach, mentor, and collaborate with business partners, analysts, and team members </li>
</ul>

Data Scientist in Hyderabad (UID-9853)

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