{"id":3834818,"url":"https://alion.io/job/navi-manager-data-science","title":"Manager - Data Science","company":{"id":797,"name":"Navi","domain":"navi.com","url":"https://alion.io/company/navi","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Marketing","role_family":"Marketing","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-05T20:36:30Z","employer_posted_date":null,"last_verified_at":"2026-11-05T20:36:30Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"As a Manager of Data Science, you'll drive the strategy, execution, and impact of data science across Navi's high-growth businesses. You will lead a team of top-tier data scientists, shaping models and solutions that power critical business functions—from lending and collections to UPI and ads. This role goes beyond technical depth; you're expected to combine sharp analytical thinking with business-first decision-making, drive cross-functional collaboration, and establish scalable systems that deliver measurable value. If you're excited about using data science to solve real-world problems at scale, this is the opportunity to make a meaningful impact.\n\nThe core responsibilities for the job include the following:\n\nLead and Develop a High-Impact Team: \nManage, mentor, and grow a team of data scientists.\nFoster a culture of learning and professional development.\nGuide project execution and support career progression.\nOwn performance reviews, compensation, and leave management.\n\nStrategic Vision and Team Performance: \nSet clear goals and expectations.\nRegularly assess team performance and alignment.\nProvide technical leadership and direction.\n\nCross-Functional Leadership: \nBuild strong relationships with business, product, and engineering.\nAct as a strategic partner in initiatives.\nDrive implementation of data science solutions.\n\nModel Quality and Monitoring Excellence: \nDefine metrics and quality standards.\nOversee monitoring and alerting systems.\nEnsure reliability, scalability, and impact.\n\nDrive Cross-Functional Data Science Initiatives: \nLead initiatives on monitoring, cost reduction, and best practices.\nPromote strong code management and documentation.\n\nPlanning and Strategic Initiatives: \nLead planning processes (quarterly, annual, long-term).\nEnsure project prioritization aligns with strategy.\n\nOpportunity Identification and Value Creation: \nIdentify high-value opportunities with business and product.\nDevelop innovative solutions that drive outcomes.\n\nRequirements: \nMaster's or bachelor's degree in computer science, electrical engineering, mathematics, economics, or another quantitative discipline.\nStrong research-oriented mindset and at least 9+ years of experience in data science, advanced analytics, or related fields.\nStrong business acumen and ability to partner with business, product, and engineering teams.\nDeep expertise in statistics, machine learning, deep learning, and optimization algorithms.\nProven ability to design, execute, and scale A/B experiments to validate and optimize data science solutions across varied business contexts.\nAdvanced programming skills in Python and PySpark.\nStrong track record in data pipelines, feature engineering, and scalable workflows.\nFamiliarity with tools and libraries like pandas, scikit-learn, TensorFlow, PyTorch, SQL, and Scala, plus production-grade deployment using Docker, Databricks, and Kubernetes.\nExperience in developing, implementing, and monitoring large-scale ML systems.\nDemonstrated leadership in managing projects and cross-functional teams.\nExperience in people management, team development, and enforcing technical best practices.\nSkills\nDeep Learning, Machine Learning, PySpark, Python, 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