Senior Data Scientist

Job Description

Job Description

Senior Data Scientist
Experience: 6–10 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Data Science & AI

We are seeking an experienced Senior Data Scientist to join our growing analytics and AI team. The ideal candidate will leverage advanced statistical analysis, machine learning, and data engineering techniques to solve complex business problems, develop predictive models, and provide actionable insights. You will collaborate with cross-functional teams to build scalable AI solutions that drive business value. A strong JD should clearly outline responsibilities, required skills, and expectations to attract qualified candidates.

• Design, build, and deploy machine learning and predictive analytics models.
• Analyze structured and unstructured datasets to identify trends and business opportunities.
• Develop data pipelines and automate data processing workflows.
• Collaborate with product managers, business analysts, and engineering teams.
• Validate model performance and optimize algorithms for production.
• Present technical findings and recommendations to business stakeholders.
• Mentor junior data scientists and conduct code reviews.
• Stay updated with advancements in AI, Machine Learning, and Generative AI.

• Python
• SQL
• Machine Learning
• Deep Learning
• Statistics
• Data Modeling
• Pandas
• NumPy
• Scikit-learn
• TensorFlow or PyTorch
• Data Visualization (Power BI/Tableau)
• Apache Spark
• Git
• Cloud Platforms (AWS, Azure, or GCP)

• NLP (Natural Language Processing)
• Generative AI
• Large Language Models (LLMs)
• RAG (Retrieval-Augmented Generation)
• MLOps
• Docker
• Kubernetes
• Airflow
• Snowflake
• Databricks
• CI/CD

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 6–10 years of experience in Data Science or Machine Learning.
• Strong experience building and deploying ML models in production.
• Expertise in SQL and Python programming.
• Experience working with cloud platforms and big data technologies.
• Strong analytical, problem-solving, and communication skills.

• Experience with Generative AI and LLM-based applications.
• Knowledge of MLOps and model deployment best practices.
• Experience in Agile/Scrum development environments.
• Relevant certifications in AWS, Azure, GCP, or Data Science are a plus.

USD $130,000 – $170,000 per year (Based on experience and location)