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Engaged Employer

Navi Technologies

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2.8

based on 264 Reviews

Video summary

104 Navi Technologies Jobs

Manager - Data Scientist

NAVI TECHNOLOGIES PRIVATE LIMITED

2.8

based on 264 Reviews

6-8 years

Bangalore / Bengaluru

1 vacancy

Manager - Data Scientist

Navi Technologies

posted 2d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Computer Science Python SQL Machine Learning Computer Vision

+ 4 more

Job Description

1.Perseverance, Passion and Commitment
Passionate about Navi s mission and vision
Demonstrates dedication, perseverance and high ownership
Goes above and beyond by taking on additional responsibilities
2.Obsession with high quality results
Consistently creates value for the customers and stakeholders through high quality outcomes
Ensuring excellence in all aspects of work
Efficiently manages time, prioritizes tasks, and achieves higher standards
3.Resilience and Adaptability
Adapts quickly to new roles, responsibilities, and changing circumstances, showing resilience and agility

What you gain by working with the Data Science team at Navi

Own Your Journey from Start to Finish Take pride in having full-cycle ownership of your projects. You wont just be a cog in the machine; youll be the architect, designer, and implementer of cutting-edge Data Science solutions that drive our business forward.
Immerse Yourself in a Data Wonderland Welcome to a playground where data is abundant and limitations are few. Our high-growth, agile environment offers a treasure trove of data, giving you the freedom to experiment, innovate, and make data-driven decisions that matter.
Be Part of a Synergistic Dream Team Collaborate with a diverse group of high-performing professionals who are as passionate about data science as you are. Our culture fosters continuous learning and upskilling, setting you up for ongoing success and career growth.
Make a Tangible Impact Your work wont just sit on a shelf; it will make waves. By closely collaborating with stakeholders across departments, youll have the opportunity to design and develop data science solutions that not only solve complex problems but also make a meaningful impact on our company and the fintech industry at large

Responsibilities

Lead and Develop a High-Impact Team Lead, manage and mentor a team of data scientists, fostering a culture of continuous learning and professional growth. Guide team members in their project work and support their career development. Will own appraisals , compensation queries and leave management of his direct reports.
Set Strategic Vision and Drive Innovation Set clear goals and expectations for the team and individuals, and regularly assess and improve team performance. Ensure alignment with organizational goals and provide technical direction.
Build Strong Cross-Functional Partnerships Cultivate trusted relationships with stakeholders in business, product, and engineering to identify opportunities, shape initiatives, and ensure successful implementation of data science solutions. Act as a bridge to integrate data science seamlessly into business functions.
Implement Industry-Leading Standards for Model Quality and Monitoring Define robust metrics and quality standards to evaluate model performance and outcomes. Establish and oversee best-in-class model monitoring systems to ensure reliability, scalability, and sustained impact over time.

Qualifications

Bachelor s or Master s degree in Computer Science, Electrical Engineering, Mathematics, Economics, or another quantitative discipline. Demonstrates a research-oriented mindset with 6+ years of experience in data science or related fields.
Strong foundation in statistics, machine learning (e.g., Random Forests, XGBoost, SVMs), and inference techniques, with expertise in hypothesis testing, simulations, and optimization methodologies.
Proficiency in applying deep learning algorithms to solve complex data challenges, with hands-on experience in TensorFlow or PyTorch.
Skilled in designing, executing, and scaling A/B experiments to validate and optimize data science solutions.
Advanced Python programming abilities with extensive experience in building robust data pipelines in PySpark, performing feature engineering, and optimizing data workflows.
Deep familiarity with libraries and tools such as pandas, scikit-learn, SQL, and Scala, with additional experience in MLOps frameworks like Docker, Databricks, and Kubernetes for production-grade model deployment.
Demonstrated track record in developing and implementing large-scale machine learning solutions that drive business impact.
Experience of leading projects with multiple team members / managing team is preferred