Data Scientist - New Delhi, India - R3 Consultant

Description

Role: Data Scientist

Exp in Data Science: 4 to 8 years (Mandatory)

Location: Delhi

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

Problem-solving aptitude

Analytical mind and great business sense

Degree in Computer Science, Engineering or relevant field is preferred

Proven Experience as Data Scientist