Assistant
Manager – Data Scientist
We are looking for an experienced Data
Scientist to join our team and drive data-driven decision-making across the
organization. The ideal candidate will have a strong foundation in statistical
analysis, machine learning, and business problem-solving, with proven
experience translating data into actionable insights.
Key Responsibilities
● Design, build, and deploy machine learning
models to solve business problems (classification, regression, clustering,
recommendation systems, etc.)
● Perform exploratory data analysis (EDA) to
identify trends, patterns, and anomalies in large datasets
● Collaborate with product, engineering, and
business teams to define data science use cases and success metrics
● Develop and maintain data pipelines in
partnership with data engineering teams
● Conduct A/B testing and statistical
experiments to validate hypotheses and measure impact
● Communicate findings and recommendations to
both technical and non-technical stakeholders through reports, dashboards, and
presentations
● Own end-to-end model lifecycle: from data
collection and feature engineering to model deployment and monitoring
● Stay current with the latest research and
best practices in data science and machine learning
● Mentor junior data scientists/analysts as
needed
Required Skills & Qualifications
● Bachelor's/Master's degree in Computer
Science, Statistics, Mathematics, Data Science, or a related field
● 8+ years of hands-on experience in data
science, applied machine learning, or a similar analytical role
● Strong proficiency in Python (Pandas, NumPy,
Scikit-learn) and/or R
● Solid understanding of statistics,
probability, and experimental design
● Experience with SQL and working with
relational/non-relational databases
● Hands-on experience with ML frameworks such
as Scikit-learn, XGBoost, TensorFlow, or PyTorch
● Experience with data visualization tools
(Tableau, Power BI, or Matplotlib/Seaborn)
● Familiarity with cloud platforms (AWS, GCP,
or Azure) for model deployment
● Strong problem-solving skills and ability to
work with ambiguous business problems
● Excellent communication skills to present
technical findings to non-technical audiences
● Experience with MLOps tools (MLflow,
Airflow, Docker, Kubernetes)
● Exposure to NLP, computer vision, or
time-series forecasting
● Experience working in Agile/Scrum
environments
● Knowledge of big data tools (Spark, Hadoop)
Skills Required
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
- 8+ years of hands-on experience in data science, applied machine learning, or a similar analytical role
- Strong proficiency in Python with Pandas, NumPy, and Scikit-learn, and/or R
- Strong understanding of statistics, probability, and experimental design
- Experience with SQL and relational or non-relational databases
- Hands-on experience with Scikit-learn, XGBoost, TensorFlow, or PyTorch
- Experience with Tableau, Power BI, Matplotlib, or Seaborn
- Familiarity with AWS, GCP, or Azure for model deployment
- Strong problem-solving skills for ambiguous business problems
- Excellent communication skills for presenting technical findings to non-technical audiences
- Experience with MLflow, Airflow, Docker, or Kubernetes
- Exposure to NLP, computer vision, or time-series forecasting
- Experience working in Agile or Scrum environments
- Knowledge of Spark or Hadoop
What We Do
Kavi Global is a data analytics and AI company that helps enterprises make intelligent, data-driven decisions. It provides analytics software, solutions, and services spanning strategy, design, development, implementation, and support. Its capabilities include business intelligence, data warehousing, big data, advanced analytics, machine learning, data management, and AI, serving organizations across multiple industries and supporting digital transformation initiatives.
