Role: Data Scientist
Exp in Data Science: 4 to 8 years (Mandatory)
Education: Computer Science - graduate (B.SC/BTec/Mtech/BS/MS)
The data scientist job description involves fetching information from various sources and analyzing it to get a clear understanding of how an organization performs. The scientist uses statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges.
After interpreting the data, they present the results in a clear and interesting way. The objective is to help the organization analyze trends to make better decisions. Thus, a good data scientist needs to have the right combination of technical, analytical, and communication skills.
Contribute in finding hidden patterns in the transactional and other sourced data.
BA/BI, Data mining
Data scientist role
Organize and analyze big data within an organization. Use business sense and communication skills to influence how the organization tackles business challenges.
Combine practical skills like coding and math with the ability for statistical analysis to achieve results.
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
Data Scientist Skills
Key skills needed to become a data scientist:
Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
Experience with Data Visualization Tools like AWS Quicksight, Tableau that help to visually encode data
Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
Strong Software Engineering Background
Hands-on experience with data science tools
Analytical mind and great business sense
Degree in Computer Science, Engineering or relevant field is preferred
Proven Experience as Data Scientist