Key Responsibilities :
- Design, develop, and deploy advanced machine learning and statistical models to solve complex business problems.
- Analyze large, complex datasets to extract actionable insights and support data-driven decision-making.
- Collaborate with cross-functional teams including engineering, product, and business stakeholders to identify opportunities and deliver impactful solutions.
- Lead end-to-end data science projects from problem definition, data acquisition, model development, validation, and deployment.
- Mentor junior data scientists and analysts, providing technical guidance and best practices.
- Communicate findings, model results, and data-driven recommendations to both technical and non-technical audiences.
- Stay up-to-date with the latest trends, tools, and technologies in data science and machine
learning.
Ensure data quality, integrity, and governance throughout analytical processes.Qualifications and Skills :
5+ years of experience as a Data Scientist or similar role, preferably in [industry / domain].Strong proficiency in programming languages such as Python, R, or Scala.Expertise in machine learning techniques, statistical analysis, predictive modeling, and datamining.
Hands-on experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms(AWS, Azure, GCP) is a plus.
Solid understanding of data visualization tools (Tableau, Power BI, matplotlib, etc.)Experience with SQL and NoSQL databases.Strong problem-solving skills and ability to translate business problems into data sciencesolutions.
Excellent communication and presentation skills.Advanced degree (Masters or Ph.D.) in Computer Science, Statistics, Mathematics,Engineering, or a related field is preferred
(ref : hirist.tech)