Job Description

We’re looking for a Senior Data Science with 3 - 5 years of hands-on experience to join our cutting-edge AI team. The ideal candidate is passionate about building production-ready AI systems

KEY RESPONSIBILITIES

Data Science: Develop machine learning models to support recommendation systems and NLP projects; provide actionable insights for product and service optimization.
Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics.
Data Analysis and Insight Generation: Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services.
Stakeholder Collaboration: Work with product and service teams to understand data needs and translate them into technical solutions.

Technical Skills

Proficiency with Python (Pandas, NumPy), SQL, and Java.
Experience with LLMs, Lang Chain, and Generative AI technologies.
Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka).
Microservices, CI CD, ML
-Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders.
Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools.
Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.
Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.

Soft Skills

• Work in a team/ Independently.

• Excellent Written & Verbal Communication Skills

Solid critical thinking and questioning skills.

•High degree of flexibility - willing to fill in the gaps rather than relying on others

•Strong communication skills, especially in presenting data insights.

•Flexibility, problem-solving, and a proactive approach in a fast-paced environment

Required Educational Qualification & Relevant

Experience

Bachelors Degree in Computer Science, Data Analytics, Engineering, or a related field.
Minimum of 3 to 5 years of experience in data science and data engineering.
Strong critical thinking abilities and the capacity to work autonomously.
Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools High motivation, good work ethic, maturity and personal initiative.
Strong oral and written communication skills.