Data Scientist Job

Job Overview
We are seeking an experienced Data Scientist for a Senior position based in Bangalore. This is a full-time role requiring 7 to 10 years of relevant work experience. The ideal candidate will adeptly blend statistical analysis, machine learning, and programming skills to derive actionable insights and foster data-driven decision-making.

Qualifications and Skills
Minimum of 7 years of professional experience in data science or related fields.
Proficiency in statistical analysis to interpret complex data sets.
Expertise in machine learning techniques and algorithms (Mandatory skill).
Strong programming skills in Python (Mandatory skill).
Experience in data visualization tools and techniques to communicate insights effectively.
Knowledgeable in big data technologies and their applications in data processing.
Experience in predictive modeling to forecast trends and behaviors.
Skilled in data mining techniques to discover patterns hidden in large data sets.
Strong quantitative analysis abilities to support data-driven decision-making.

Roles and Responsibilities
Design, develop, and implement advanced predictive models.
Interpret and analyze data from multiple sources to drive business decisions.
Collaborate with cross-functional teams to define data requirements and deliver actionable insights.
Communicate complex data findings to non-technical stakeholders through data visualization and storytelling.
Continuously monitor model performance and adjust methodologies to enhance accuracy.
Develop and maintain scalable data pipelines and architectures.
Stay updated with the latest industry trends and apply innovative techniques to data analysis processes.
Assist in the mentorship and guidance of junior data scientists within the team.
Ensure data quality and integrity throughout all aspects of analysis and reporting.

Interested candidates can apply or learn more about Rohini IT Consulting LLP at our website.

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.