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JOB DESCRIPTION

Data Scientist

Role : Data Scientist

Experience : 3 to 10 years

Key Skills :Python & R

Role Background

Inteliment is looking for people who aspire to solve real and complex business problems with their Data Science expertise. You will be a part of our Data Science Centre of Excellence that implements Inteliment’s Data Science Platform as well as on other industry leading platforms.

 

Key Responsibilities

  1. 1.       Work closely with product engineering, client and project teams and align them with respect to your focus area.
  2. 2.       Developing advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.
  3. 3.       Enhancing data collection, processing, cleansing and verifying the integrity of data used for advance analytics
  4. 4.       Be a subject matter expert in Data Science Platform Data Science & Analytics products and offerings.
  5. 5.       Selecting features, building and optimizing classifiers using machine learning techniques, understand and work around possible limitations in models.
  6. 6.       To develop hypothesis and test them with careful experiments.
  7. 7.       Aid in project planning to determine effort and time estimations.
  8. 8.       Contributing to creation of knowledgebase for Inteliment’s iDS Data Science platform & practise and related KMS initiatives.



Required Skills & Experience

  1. 1.       ME / M Tech / Be / B Tech with
  2. 2.       3-5 years of experience
  3. 3.       Data-oriented personality with a good scripting and programming skills and hands-on expertise on data science toolkits, such as R, MatLab, SAS, SPSS
  4. 4.       Hands-on expertise and exposure in NLP, machine & deep learning algorithms, model building, statistical modelling, predictive modelling environments
  5. 5.       Excellent track record of delivery using languages like Python, R, Java and technologies like Hadoop, Git / Stash, JIRA / Rally etc.
  6. 6.       Experience with NoSQL databases (MongoDB, Cassandra, HBase) and SQL, Hive, Pig.
  7. 7.       Experience with data-viz tools to present trends, forecasts, patters

Role Background

Inteliment is looking for people who aspire to solve real and complex business problems with their Data Science expertise. You will be a part of our Data Science Centre of Excellence that implements Inteliment’s Data Science Platform as well as on other industry leading platforms.

 

Key Responsibilities

  1. 1.       Work closely with product engineering, client and project teams and align them with respect to your focus area.
  2. 2.       Developing advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.
  3. 3.       Enhancing data collection, processing, cleansing and verifying the integrity of data used for advance analytics
  4. 4.       Be a subject matter expert in Data Science Platform Data Science & Analytics products and offerings.
  5. 5.       Selecting features, building and optimizing classifiers using machine learning techniques, understand and work around possible limitations in models.
  6. 6.       To develop hypothesis and test them with careful experiments.
  7. 7.       Aid in project planning to determine effort and time estimations.
  8. 8.       Contributing to creation of knowledgebase for Inteliment’s iDS Data Science platform & practise and related KMS initiatives.



Required Skills & Experience

  1. 1.       ME / M Tech / Be / B Tech with
  2. 2.       3-5 years of experience
  3. 3.       Data-oriented personality with a good scripting and programming skills and hands-on expertise on data science toolkits, such as R, MatLab, SAS, SPSS
  4. 4.       Hands-on expertise and exposure in NLP, machine & deep learning algorithms, model building, statistical modelling, predictive modelling environments
  5. 5.       Excellent track record of delivery using languages like Python, R, Java and technologies like Hadoop, Git / Stash, JIRA / Rally etc.
  6. 6.       Experience with NoSQL databases (MongoDB, Cassandra, HBase) and SQL, Hive, Pig.
  7. 7.       Experience with data-viz tools to present trends, forecasts, patters

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