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Career

Life @ StratLytics

If you want to become the Captain of your own Ship, then StratLytics is the place to work at.

Everyone, here, is free to opine and contribute to the intellectual property that we are trying to build. We believe that passion drives excellence and not just talent. We keep learning, introspecting, debating and still learning to make it possible. Office work and business decisions are kept transparent enough for everyone to make meaningful contributions. You will feel the pleasure of handling your own Ship and pressure of delivering on missions at the same time. If you think you are up for the same, StratLytics is the place to work at. If you want to work with us and don't see any suitable openings here, still write to us with your resume at hr@StratLytics.com telling us why.


Data Engineer - Analyst II

Location :Hybrid/Client Site/StratLytics Office/Home

We are seeking a Data Engineer to join our team of passionate professionals in building end-to-end data pipelines for data science applications. The ideal candidate will have 2 to 5 years of experience as a data engineer designing, developing, and optimizing data pipelines and architecture, and working with CI/CD pipelines and DevOps tools.


Responsibilities


  • Design and develop end-to-end data pipelines in Azure/AWS for data science applications.
  • Build and optimize data pipelines, architecture, and data sets supporting data transformation, data structures, metadata, dependency, and workload management.
  • Work with CI/CD pipelines and DevOps tools like Jenkins, ML flow, or Air flow.
  • Use Python, Spark, and Git to develop data pipelines and processing.
  • Understand APIs, caching, and messaging for effective data engineering.
  • Continuously pioneer the adoption and industrialization of emerging data technologies.
  • Embrace fungibility and flexibility in different roles as per project demand.
  • Embrace feedback and constantly seek to learn new skills.

Requirements

  • Bachelor’s or Master’s degree in quantitative fields such as engineering, mathematics, statistics, operations research, or economics.
  • Strong programming skills in Python, Spark, and Git.
  • Experience with CI/CD pipelines and DevOps tools like Jenkins, ML flow, or Air flow.
  • Working knowledge of Azure/AWS, data transformation, data structures, metadata, dependency, and workload management.
  • Passion for growing skills and tackling challenging problems.
  • Strong problem-solving and analytical skills.
  • Ability to work independently and as part of a team.

Culture and Benefits

- We offer a flexible work location (work from home, client location, or StratLytics office in Bhubaneswar),
- Health insurance coverage of 10 Lacs for self and dependents, Provident Fund,
- exciting and challenging problems to work on in an entrepreneurial setup,
- 12 weeks of intensive boot camp to strengthen the fundamentals of data engineering and data science.
- We also sponsor higher education in data engineering/data science for our employees.

To apply, please submit your application along with your resume and a cover letter describing your experience and interest in the role. We look forward to hearing from you!

Please click here to apply for the data engineer position.


Data Scientist - Risk Modeling Analyst II

Location :Gurgaon/StratLytics Office/Home

Join our team of talented professionals as a Data Scientist - Risk Modeling. We are seeking a motivated and skilled individual with 2-3 years of experience to help us develop and implement risk models. As a Data Scientist, you will utilize your knowledge of statistical and machine learning techniques to analyze and interpret complex data sets. This is a unique opportunity to work with cutting-edge technology and work on exciting projects related to origination scorecard, behavior scorecard, collection analytics, and IFRS9 modeling. Proficiency in Python/SAS and logistic regression is mandatory.

Job Description
  • Develop and implement risk models using statistical and machine learning techniques such as logistic regression, XGB,, RandomForest, SVM, Survival Analysis
  • Analyze and interpret complex data sets to provide insights that support risk management decisions.
  • Work collaboratively with cross-functional teams of the client to design and implement data-driven solutions.
  • Communicate findings and insights effectively to stakeholders.
  • Stay up-to-date with the latest trends in data science and related fields.
  • Ensure models and analyses comply with regulatory requirements.

Requirements
  • Master’s degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.
  • 2 to 3 years of experience in data science, risk modeling, or a related field.
  • Strong knowledge of statistical modeling and machine learning techniques, with hands-on experience in logistic regression.
  • Proficiency in Python or SAS.
  • Experience with origination scorecard, behavior scorecard, collection analytics
  • IFRS9 modeling is a plus.
  • Strong problem-solving and analytical skills.
  • Excellent communication and presentation skills.
  • Ability to work independently at the client site and as part of a team.

Culture and Benefits

  • Work from client location (Delhi/Mumbai/Hyderabad)/StratLytics office (Bhubaneswar)/home.
  • Health insurance coverage of 10 Lacs for self and dependents, Provident Fund
  • exciting and challenging problems to work on in an entrepreneurial setup
  • 12 weeks of intensive bootcamp to strengthen the fundamentals of data engineering and data science.
  • Sponsor higher education in data engineering/data science for our employees. 


Please click here to apply for the data science position.