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Data Scientist @ iLink Digital

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 Data Scientist

Job Description

5+ years ofexperience in product analytics or data science. Practical project experiencein advanced data analysis, statistical modeling, and machine learning conceptsis essential.
  • Education: Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research, etc.) from a reputed institute.
  • Analytical Skills: Analytical thinker with a passion for using data and scientific methods to solve business problems.
  • Programming Proficiency: Proficient with common analytical programming languages e.g. Python; expert in SQL. Experience with writing production-ready code in Python and automation. Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL, and Spark. Experience with tools like git, mlFlow, Airflow, Cron, Docker, and Cloud Platforms such as AWS/GCP is a plus.
  • Technical Expertise: Strong proficiency in core Data Science, Machine Learning, and Statistical modeling. In-depth experience in techniques from time-series forecasting and/or causal inference. Experience with Experiment Design, Natural Language Processing, Neural Network architectures, Recommendation Systems, and Large Language Models, Generative AI (LLM) is highly desirable.
  • Advanced Techniques: Deep knowledge of techniques such as Linear Regression, Gradient Descent, Logistic Regression, Forecasting Time Series, Cluster Analysis, Decision Trees, Linear Optimization, and Text Mining.
  • Specific Skills: Must have Semantic Modeling & NER (Named Entity Recognition) experience.
  • Pre-trained Models: Experience working with pre-trained models, awareness of the state-of-art in embeddings and their applicability for use cases.
  • NLP/NLG/NLU Experience: Must have strong experience in NLP/NLG/NLU applications using popular deep learning frameworks like PyTorch, TensorFlow, BERT, Langchain, and GPT (or similar models).
  • Generative AI Exposure: Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT-3.5 & 4, and Prompt Engineering.
  • Cloud Experience: Experienced in developing and deploying data science models, especially in the Cloud environment. Must have worked using Azure services or AWS SageMaker for ML & GenAI projects.
  • Consultative Skills: Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains.
    Benefits
    • Competitive salaries
    • Medical Insurance
    • Employee Referral Bonuses
    • Performance Based Bonuses
    • Flexible Work Options & Fun Culture
    • Robust Learning & Development Programs
    • In-House Technology Training

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time

Contact Details:

Company: iLink Digital
Location(s): Hyderabad

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Keyskills:   Telecom Data analysis Operations research Automation Data management Healthcare Life sciences Forecasting Analytics SQL

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iLink Digital

iLink Digital, a CMMI Level 3 and ISO 9001:2008 Certified Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainab...