The role involves leading a team of data scientists in model development and deployment, collaborating with product teams and MLOps, ensuring code standards, conducting model evaluations, and creating monitoring plans. The position demands 6+ years of experience in data science with a strong focus on machine learning and statistical modeling in cloud environments.
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Job Title: Senior Data Scientist/ Data Scientist
Job Location: Bangalore, Pune, Mumbai, Gurgaon, Chennai, Hyderabad, Noida and Coimbatore
Job Description:
- Lead a small group of DS developers in collaborate/streamline data science work with product, BA, MLOps. Cover tasks in DS model development/redevelopment and support the deployment into multiple markets for production purpose.
- Leading the collaboration with MLOps to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support.
- Code development/redevelopment planning, provide direct support to DS developers in the execution.
- Leading model tunning.
- Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead.
- Leading the testing/evaluation planning with the data scientist project lead. Establishing model evaluation and validation framework in the context of deployment. Creating standard test report structure.
- Ensure production grade code is developed and maintained for quick roll-out purpose. High level of transparency and replicability is achieved.
- Leading the planning of RCA for any issue identified.
- Creating the monitoring plan for production.
- Support the activities in the UAT with the end users.
- Working as the contingency resource for development to ensure timely delivery.
- Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization.
Technical Skills:
- Brings 6+ years of deep data science experience.
- Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon, Databricks
- Experience with programming languages such as Python, R, Spark
- Strong understanding of data structures, algorithms, and software design principles, highly sensitive to algorithm complexity.
- Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage
- Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub.
- Strong experience in development planning.
- Good knowledge in coding standard, building re-useable services.
- Experience in end-to-end data science project delivery
Non-Technical Skills:
- Solution Designing
- Critical Thinking
- Ecommerce Domain Understanding (Good to Have)
EDUCATION:
- B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
- Recommended: completion of Fractal Data Science Professional Certificate" with this -https://www.coursera.org/professional-certificates/fractal-data-science
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Top Skills
Amazon
Azure
Big Query
Cloud Ml Engine
Cloud Storage
Databricks
GCP
Git
Python
R
Spark
Similar Jobs
Enterprise Web • Fintech • Financial Services
The Senior Data Scientist will design and develop scalable AI/ML solutions, leveraging machine learning, NLP, and deep learning techniques. Responsibilities include feature engineering, exploratory data analysis, data visualization, and deploying solutions in cloud environments. The ideal candidate will have experience with various Python libraries and relational databases while promoting good development practices within the team.
Top Skills:
AWSAzureGCPIbm WatsonKerasMs SqlNltkNumpyPandasPostgresPythonPyTorchScikit-LearnScipyTensorFlow
Financial Services
As a Data Science professional in Asset Management, you will enhance the investment process using NLP and ML techniques. Responsibilities include collaborating with stakeholders, developing solutions, monitoring model performance, and staying updated with research to drive enhancements.
Top Skills:
HuggingfacePythonPyTorchTransformers
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
The Lead Data Scientist will focus on analyzing large vehicle sensor datasets to identify patterns and develop algorithms for hazard prediction. This role requires collaboration with cross-functional teams to enhance vehicle safety and operational efficiency through advanced data science methodologies including machine learning and statistical modeling.
Top Skills:
Aws Ai/MlMachine LearningPython
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
