<ul>
<li>Should have 10-15 years’ hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics</li>
</ul>

<ul>
<li>Expected to contribute to opportunity analysis, building project proposals, designing, implementation and execution across variety of ML projects in the areas of Predictive Modelling, Forecasting and Optimization</li>
</ul>

<ul>
<li>Should have 5-10 years’ of experience in leading a team of data scientists, works closely with client’s technical team to plan, develop and execute on client requirements providing technical expertise and project leadership.  </li>
</ul>

<ul>
<li>Manage data science work streams and eventually build a team of data scientists, ML experts and data engineers to solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.</li>
</ul>

<ul>
<li>Work closely with product managers, software engineers, and infrastructure engineers to define strategy, roadmap and requirements</li>
</ul>

<ul>
<li>Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modeling.</li>
</ul>

<ul>
<li>Ensure the data science team successfully delivers on design, development, testing, experimentation, and the operations of algorithms, data pipelines, and systems</li>
</ul>

<ul>
<li>Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents.</li>
</ul>

<ul>
<li>Regularly communicate with senior management on status, risk and strategy</li>
</ul>

<ul>
<li>Collaborate to develop analytics pipelines in production systems around continuous integration and learning.</li>
</ul>

<ul>
<li>Propose suitable technology stacks for projects to be deployed across cloud platforms and on-premises infrastructure.</li>
</ul>

<ul>
<li>Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing</li>
</ul>

<ul>
<li>Helps in new project proposals with advanced analytic architectures across functional areas as per requirement/opportunities.</li>
</ul>

<ul>
<li>Participate in internal technical councils and represent the organization in forums that involve community of data scientists across industry and academia.</li>
</ul>
 
<h2 style="text-align:start;">Technical Role and Responsibilities</h2>

<ul>
<li>Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence</li>
</ul>

<ul>
<li>Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python</li>
</ul>

<ul>
<li>Experience leading enterprise-wide data science projects from scratch to scale</li>
</ul>

<ul>
<li>Significant record of publications, exhibiting influence within an industry</li>
</ul>

<ul>
<li>Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods</li>
</ul>

<ul>
<li>Highly proficient in Python, R, SQL, Spark, and other big data tools</li>
</ul>

<ul>
<li>Visualization tool experience - preferably with Tableau or Power BI</li>
</ul>

<ul>
<li>Sound knowledge of cloud ecosystems like Azure, AWS and Google cloud.</li>
</ul>

<ul>
<li>Provide technical recommendations and engage with ETL/BI Architects, Business SMEs and other stakeholders throughout the Solution/Data Architecture and implementation lifecycle and recommend effective solutions to develop high performance and highly scalable data solutions (data marts/warehouse and data mining and advanced analytics)</li>
</ul>

<ul>
<li>Experience in Big Data technologies like Hadoop, Spark, Hive, Pig, Presto, Cassandra, Kafka and NoSQL databases.</li>
</ul>

<ul>
<li>Data analysis, reporting, visualization expertise and experience with tools such as Tableau, Alteryx, Python and R in scale.</li>
</ul>

<ul>
<li>Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data &amp; beyond.</li>
</ul>

<ul>
<li>Good understanding about statistics – hypothesis testing, p-values, confidence intervals, regression, t-test, f-test and ANOVA</li>
</ul>

<ul>
<li>Domain experience in Storage, File systems, hybrid cloud environments is a plus.</li>
</ul>

<ul>
<li>A critical thinker that can quickly understand a new problem space and apply analytic techniques to identify potential value</li>
</ul>

<ul>
<li>Demonstrated thought leader with an interest in working on Digital Industrial transformation</li>
</ul>

<ul>
<li>Ability to evaluate quality of ML models and to define the right performance metrics for models in accordance with the requirements of core platform</li>
</ul>

<ul>
<li>Assist senior management in making key business decisions</li>
</ul>

<ul>
<li>Experience in interpreting and communicating analytic results to analytical and non-analytical business partners and executive decision makers in a lucid, precise, clear way</li>
</ul>

<ul>
<li>Strong knowledge on scalable ML model deployments with proficient experience on different tools like dockers, Azure, MLflow, Sagemaker and Kubernetes</li>
</ul>

Sr Data Science Specialist in Hyderabad (UID-11804)

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