Data Scientist– AI/ML

Full time @Sourabh Chandrakar in Data Science & Big Data
  • Mumbai, Maharashtra, India View on Map
  • Salary: ₹1,500,000.00 - ₹2,000,000.00 / Yearly
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Job Detail

  • Experience 2 - 5 years

Job Description

The company was founded in the ’90s and has over 5000 employees worldwide. In addition to serving as a trusted technology partner, the company provides global technology services. Working with some of the world’s most innovative companies and software vendors, we help them leverage technology and outsourcing.

Responsibilities

  • Experience in data mining and collection procedures
  • Ensure data quality and integrity
  • Interpret and analyze data problems
  • Conceive, plan and prioritize data projects
  • Build analytic systems and predictive models
  • Do code reviews and audits
  • Provide recommendations to practice on its development
  • Train the juniors in the practice
  • Test performance of data-driven products
  • Visualize data and create reports
  • Align data projects with organizational goal
  • Understands business problems and designs end-to-end analytics use cases
  • Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc.,
  • Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance
  • Collaborates with model developers to implement and deploy scalable solutions
  • Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

Qualification & Other Attributes:

  • 2-6 years’ experience in a statistical and/or data science role
  • Proven experience as a Data Scientist or similar role
  • Degree in Computer Science, Data Science, Mathematics, or similar field
  • Deep knowledge of machine learning, statistics, optimization or related field
  • Experience in Generative AI, like Large Language models
  • Experience in MLOPS in any of the cloud environments
  • Experience in supervised learning like Linear, non-Linear Regression models and Classification models including Logistic regression, Ensemble techniques
  • Experience in Unsupervised models including clustering and association mining
  • Rich Experience in NLP techniques
  • Experience in Deep Learning techniques like CNN, RNN, etc
  • Deployment experience in any of the cloud (AWS, Azure, GCP) and/or non-cloud environments
  • Experience in Version control systems (GitLab, Github, BitBucket etc)
  • Strong real-time experience with atleast one of the machine learning languages/softwares like R, Python, Matlab is mandatory
  • Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.)
  • Excellent written and verbal communication skills along with strong desire to work in cross functional teams
  • Attitude to thrive in a fun, fast-paced start-up like environment
  • Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc
  • Optional: programming in C, C++, Java, .Net

 

Note: We appreciate every application, however, due to a high volume of applicants, only shortlisted candidates will be contacted

Required skills

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