o | Jobs | Data Scientist | BigDataKB.com | 04-02-22

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Job Location: Coimbatore

What youll do for us

  • Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
  • Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks to develop or optimize planning solutions
  • Actively monitor, validate, root cause and tune statistical, time series, ML, optimization models
  • Optimise, scale & deploy ML models using o9s open big data cloud platform
  • Evaluate/test additional data streams, parameters, algorithms to enhance models post go-live and develop new models to improve existing ones
  • Responsible for solution usability and uptime by resolving any customer issues in a timely fashion, ensuring accuracy of inputs and outputs
  • Identify any design issues in the existing model and co-ordinate with other o9 consultants and data sceintists to solve the business problem. Be the single point of contact for any platform level upgrade/patch/hot fix.
  • Work with customer data science teams and support Super User and End User training, for a global user base.

What youโ€™ll have

Mandatory:

  • 2+ years of experience in the field of Data Science and Analytics. Data Scientist or Sr Data Scientist will be decided based experience, knowledge, and interview performance.
  • Strong programming skills and experience in using Python and/or R for Data Science
  • Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed
  • Deep Knowledge of statistical and machine learning algorithms
  • Experience in maintenance and/or building of scalable ML frameworks by identifying and collecting relevant input data, feature engineering, tuning, and testing.
  • Strong presentation and communications skills
  • Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field

Nice to have:

  • Experience in time series forecasting in scale using heuristic based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning
  • Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, demand sensing, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
  • Experience with SQL, databases and ETL tools or similar is optional but preferred
  • Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
  • Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable but not essential
  • Experience in implementing planning applications will be a plus
  • Understanding of Supply Chain Concepts will be preferable

What weโ€™ll do for you

  • Competitive salary
  • Exposure: Work with the biggest brands in the world in an international environment
  • Get social: When we work from home, we play from home with fun after-work activities like Friday Socials. If youโ€™re in the office, feel free to join these events in person.
  • Flat organization: With a very strong entrepreneurial culture (and no corporate politics).
  • Support network: Work with a team you can learn from and every day.
  • Diversity: We pride ourselves on our international working environment.

How the process works

  • Apply by clicking the button below.
  • Youโ€™ll be contacted by our recruiter whoโ€™ll fill you in on all things at o9, give you some background about the role and get to know you. Theyโ€™ll contact you either via video call or phone call – whatever you prefer.
  • You may be required to take an online data science test
  • During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if weโ€™d like to progress your application.
  • We will have 3 rounds of Technical discussion followed by an HR discussion
  • Our recruiter will let you know if youโ€™re the successful candidate.

Good luck!

Apply Here

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