Prime Infosoft
What Does a Data Scientist Do?
Data scientist roles and responsibilities include:
– Data mining or extracting usable data from valuable data sources
– Using machine learning tools to select features, create and optimize classifiers
– Carrying out preprocessing of structured and unstructured data
– Enhancing data collection procedures to include all relevant information for developing analytic systems
– Processing, cleansing, and validating the integrity of data to be used for analysis
– Analyzing large amounts of information to find patterns and solutions
– Developing prediction systems and machine learning algorithms
– Presenting results in a clear manner
– Propose solutions and strategies to tackle business challenges
– Collaborate with Business and IT teams
Objectives of this role:
– Collaborate with product design and engineering teams to develop an understanding of needs
– Research and devise innovative statistical models for data analysis
– Communicate findings to all stakeholders
– Enable smarter business processes by using analytics for meaningful insights
– Keep current with technical and industry – Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
– Execute analytical experiments to help solve problems across various domains and industries
– Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
– Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
– Analyze data for trends and patterns, and interpret data with clear objectives in mind
– Implement analytical models in production by collaborating with software developers and machine-learning engineers
Required skills and qualifications:
– Seven or more years of experience in data science
– Proficiency with data mining, mathematics, and statistical analysis
– Advanced experience in pattern recognition and predictive modeling
– Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)
– Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
Preferred skills and qualifications:
– Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline
– Two or more years of project management experience
– Professional certification