
▷ (Apply Now) Data Scientist
13 hours ago
🚀 We’re Hiring: Data Scientist – Digital Transformation Organization
Company: TC Consulting Services
Location: 100% Remote
Compensation: Package – ₹10 LPA
Shift: Night Shift (Mon–Fri, 9 AM – 5 PM EST, US Time)
TC Consulting Services is building a new Digital Transformation Organization, and we’re looking for a passionate Data Scientist to join our journey. This team’s mission is to leverage data to boost productivity and revenue, starting with our “Modern Sales” initiative.
🔑 Key Responsibilities
- Model Development & Evaluation – Build, test, and optimize predictive models using ML/DL techniques (time-series, structured & unstructured data).
- Data Analysis & Pipelines – Perform EDA, feature engineering, and automate data/model pipelines using tools like Databricks or Azure Data Factory.
- Generative AI & AI Agents – Develop and fine-tune LLMs, RAG systems, and AI agents, with strong expertise in prompt engineering.
- Collaboration & Communication – Work cross-functionally with engineers and project managers to deliver insights and translate findings into business outcomes.
🎯 Required Skills
- Experience - Minimum 3 years overall, with 2–3 years in AI/ML.
- Python – Hands-on expertise with Pandas, NumPy, Scikit-learn.
- Machine Learning – Proficiency in regression, classification, clustering, TensorFlow, PyTorch.
- Generative AI – Experience with OpenAI, Hugging Face, or similar frameworks.
- Prompt Engineering – Ability to design and optimize prompts effectively.
- Data Pipeline Tools – Skilled in orchestration frameworks (Databricks, Azure Data Factory).
- Visualization – Strong command of Matplotlib and Seaborn.
🌟 Why Join Us?
This is a high-growth, fast-paced environment where you’ll be at the forefront of building AI-driven solutions that directly shape modern sales strategies. Our Digital Transformation Office is driving innovation by reimagining processes, enabling smarter decision-making, and creating data-powered customer solutions.
📩 Interested? Apply now and be part of a team shaping the future of data-driven transformation
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