Job Description

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Data Scientist

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Adyar , Chennai, Tamil Nadu, India (ST01)

Department
Data Analytics
Job Posted On
03-03-2025 16:01:14
Employee Type
Regular
Experience range (Years)
0 - 0

AboutStraive:

Straive is a trusted leader in building andoperationalizing enterprise data and AI solutions for top global brands andcorporations. Our key differentiators include extensive domain expertise acrossmultiple industry verticals, coupled with cutting-edge data analytics and AIcapabilities that have consistently driven measurable ROI for our clients. Witha global footprint spanning 30+ countries, Straive serves hundreds of clients,supported
by a team of 18,000+ seasoned professionals in data, analytics, AI, and operations.Our offices are strategically located across India, the Philippines, the USA,Nicaragua, Vietnam, the UK, Canada, and Singapore, where our headquarters arebased.

Website:https://www.straive.com/Linkedin

About the Data Scientist Job Role

You will help our clients solve real-world problems bytracing the data-to-insights lifecycle:

  • Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics
  • Create, experiment with, and deliver innovative solutions in a consultative mindset to client stakeholders using textual data

Qualification for Data Scientist

Experience: 2-5 years

  • Primary Skills Evaluation
    • Python
      • Advanced Python concepts
      • Proficiency in libraries: Matplotlib, Seaborn, scikit-learn, XGBoost
      • Coding Assessment: 1-2 coding questions to be evaluated within an IDE environment, potentially involving more complex data manipulation and model building.

 

 

    • Supervised & Unsupervised Machine Learning
      • In-depth knowledge of various ML algorithms (e.g., ensemble methods, Boosting, Bagging etc.)
      • Experience in applying ML solutions to real-world business problems
      • Model Deployment & Monitoring: Understanding of model deployment strategies, monitoring, and retraining.
    • Data Engineering & Pipelines
      • Strong knowledge with data extraction, transformation, and loading (ETL) processes
    • SQL
      • Medium SQL queries (Partition By, Having, CTE etc.)
      • Case study-based assessment: 1-2 questions to evaluate advanced SQL concepts
  • Secondary Skills
    • Foundational knowledge of NLP, Deep Learning, and Generative AI concepts.
    • Basic understanding of cloud platforms (AWS, GCP, Azure)

 

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