Data Scientist / Sr. Data Scientist for an MNC

FRATITUDE Talent Advisors; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

FRATITUDE Talent Advisors seeks a Data Scientist / Sr. Data Scientist for an MNC in Bengaluru. Requires a Bachelor’s in Mathematics/Statistics/CS and 7+ years of experience including 3-5 years in statistical analysis or data science.

Proficiency in Python, R and Hadoop, with strong communication skills. Role involves building predictive models, designing experiments, handling large datasets, and presenting data insights to stakeholders.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science or a related discipline.
• 7+ years with 3-5 years of experience in statistical analysis or data science.
• Experience manipulating large datasets and databases; proficiency in Hadoop or similar frameworks.
• Experience using machine learning algorithms.
• Strong communication with technical and non-technical stakeholders.

Responsibilities

• Construct advanced predictive models, algorithms and probability engines to support data analysis or product functions; verify model and algorithm effectiveness based on real-world results.
• Design experiments and methodologies to generate and collect data for business use.
• Identify available data sources, including internal/external, leveraging new data collection processes.
• Design experiments, test hypotheses, and build models to explore complex business systems.
• Conduct data analyses using traditional and complex statistical methods; design algorithms and implement software to perform analyses.
• Aggregate, transform and integrate multiple data sets to test hypotheses and identify patterns.
• Transform complex data and results into graphs, tables, and charts to present findings concisely.
• Write methodology, analysis and data insights for reports and presentations; lead non-technical audiences through goals and implications.
• Collaborate with business leaders to identify further projects aligning with organizational goals.

Skills

Python

R

PHP

Hadoop/Big data

Data Science/Data Analytics

Mathematics

Statistics

Algorithms and probability engines

Education

Bachelor’s degree in Mathematics, Statistics, Computer Science or related discipline

Job description

Data Scientist / Sr. Data Scientist for an MNC

Position Data Scientist / Sr. Data Scientist

REF FRACLT_DS_1119

Location Bengaluru, KAR, INDIA

Required:

Qualification: Bachelor’s degree in Mathematics, Statistics, Computer Science or a related discipline

Experience: 7 plus years with 3-5 years of experience in statistical analysis or data science.

Skills: Python, R, PHP, Hadoop/Big data, Data Science/Data Analytics, Mathematics, Statistics, Algorithms and probability engines

• Experience manipulating large datasets and using databases with experience in general purpose programming language such as Hadoop.
• Ability to develop solutions to loosely defined business or research problems by leveraging pattern detection over large data sets.
• Experience using machine learning algorithms.
• Strong interpersonal skills with the ability to communicate with technical and non-technical internal and stakeholders.
• Ability to organize, analyze and correlate data information.

Role & Responsibilities:

• Construct advanced predictive models, algorithms and probability engines to support data analysis or product functions; verify model and algorithm effectiveness based on real-world results.
• Design experiments and methodologies to generate and collect data for business use.
• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as sensors, open data, and social media feeds.
• Design experiments, test hypotheses, and build models to explore complex business and safety science systems.
• Conduct data analyses using traditional and complex statistical methods. Design algorithms and implements software to perform analyses.
• Aggregate, transform and integrate multiple data sets to test hypothesis, model complex systems and identify patterns. Prepare and analyze program/model output to allow for efficient data analysis.
• Transform complex data and results into creative graphs, tables, charts and other graphics to present and/or share the data in a compelling and concise manner.
• Write methodology, analysis and data insights for research papers, proposals and presentations. Synthesize all aspects of a data science project to lead non-technical audiences through the goals, methods and implications of the project.
• Work with business leaders and researchers to suggest other projects and initiatives that will advance the organizations goals.