Syntasa India Hiring Drive 2024 For Data Scientist | Work From Home

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Syntasa India Hiring Drive 2024: Syntasa India Hiring Drive 2024 for its Data Scientist. Syntasa India Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: Syntasa India

Role: Data Scientist

Location: Remote

Experience: 2 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Syntasa India Hiring Drive 2024

Job Description:

  • As a data scientist within our delivery team, you will be leveraging a multitude of big data, ML and statistical methods to help our customers realize the potential of modern data science and data-driven approaches.
  • You will be working from an end-to-end basis by building the data pipelines needed for your models, building/optimizing the models and enabling your data driven outputs to be leveraged by both stakeholders and downstream applications.
  • We work across several public sector and commercial clients, thus allowing your data expertise to help facilitate positive outcomes across a broad range of sectors.


  • At least 2 years’ experience in an analytical role as a data scientist, analyst or machine learning engineer
  • An ability to work with data using SQL and tools for statistical analysis (eg. Python, R)
  • Solid knowledge of statistics and probability, with demonstrated experience applying these techniques to commercial use cases such as ML models and A/B tests
  • Demonstrated experience of developing, deploying and maintaining ML models and data pipelines within a commercial setting.
  • Demonstrated experience of translating business and/or project requirements into insights, models and data products that generated tangible business value.
  • An ability to work effectively in a team setting and familiarity with commercial collaboration tools such as JIRA, Confluence,
  • A strong communicator able to present data driven insights to non-technical stakeholders while also having fruitful conversations with engineering teams
  • Curiosity and attention to detail with regards to data quality, distributions, biases and governance.
  • An ability to work effectively within a fast paced and dynamic environment.
  • An awareness and keen interest in the latest trends / techniques within data, machine learning and AI.
  • Fluent in Python/Scala/R as well as SQL/NOSQL with demonstrable experience.
  • Experience with Apache Spark
  • or other Big Data tools like Apache Flink/MapReduce
  • Familiar with Big Data tools such as EMR/ Dataproc /Cloudera/Hortonworks
  • Familiar with orchestration tools such as Airflow/DBT/NiFi
  • Experience with LLM’s and GPT models a plus.
  • Experience with cloud solution providers such as GCP, AWS and Azure
  • Prior experience building robust and reusable code
  • Prior experience using notebooking technologies such as Jupyter/Colab notebooks.
  • Knowledge of NLP and Image processing algorithms.
  • Prior experience with REST APIs
  • An understanding of version control, modularity and maintaining code within a production setting.
  • An understanding of the web analytics and digital marketing ecosystem (eg. Adobe, Salesforce, Google)
  • Prior experience working with DMPs and CDPs
  • Prior consulting experience

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