<div>Roles and Responsibilities&nbsp;</div> <div><br /> 1.Build &amp; lead a fantastic, outcome-driven data science team<br /> 2.Build and own a strategic roadmap for data science in line with the business vision. Roadmap to cause significant&nbsp;<br /> delta in the business outcomes by leveraging data science capabilities<br /> 3.Stay up to pace with the latest technologies evolving in the data science world<br /> 4.Collaborate with external experts to keep feeding the team with the required knowledge to cause outcomes or&nbsp;<br /> create collaboration opportunities for the team to learn<br /> 5.Build and own the capability roadmap of the data science team<br /> 6.Partner with the founders and leadership team to drive outcomes by bringing in the expertise of data science<br /> 7.Build and own the data product roadmap for the business to enable objective decision-making by every team&nbsp;<br /> member in the company<br /> 8.Conduct hypothesis-driven exploratory analysis and select the most appropriate modeling techniques which&nbsp;<br /> include a variety of machine learning models.<br /> 9.Own data science financial budget and ROI. Build a cost-efficient data science infrastructure</div> <div>10.Generating insights on drivers and influencers of business to enable robust OKR planning and effective&nbsp;<br /> execution<br /> 11.Custodian of data integrity</div> <div>&nbsp;</div> <div>What are the competencies needed: Should have been exposed to these aspects</div> <div><br /> 1.Functional expertise<br /> 1. Master/Bachelor&rsquo;s in a quantitative field (Computer Science, Mathematics, Machine Learning, AI,&nbsp;<br /> Statistics, or equivalent).<br /> 2. 8+ years of experience in managing Data Scientists, Data Analysts, and Data Engineers.<br /> 3. Machine learning: Expertise in quantitative analysis using ML algorithms.</div> <div>4. Python: Proven skills in building, manipulating, and deploying models in Python.</div> <div>5. SQL: Experienced in writing complex yet efficient SQL queries.<br /> 6. Visualization: Worked with any of the visualization tools such as Tableau.<br /> 7. Engineering: Experienced working with AWS environment and databases such as Redshift, and MySQL.</div> <div>&nbsp;</div> <div>Behavioral competencies</div> <div>&nbsp;</div> <div><br /> 1.Experienced in leading experienced data scientists &amp; analysts<br /> 2.Strong problem-solving skills<br /> 3.Strong collaboration skills<br /> 4.High learnability<br /> 5.Strategic thinking &amp; outcome orientation</div>