Job Description:
- 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 – Valuable 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 Neighbours, Naive Bayes, SVM, Decision Forests.
- Solid 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 key aspect of a data scientist job description.
- Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data.
- Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
- Robust Software Engineering Background.
- Hands-on experience with data science tools.
- Problem-solving aptitude.
- Analytical mind and outstanding business sense.

Education:
BE OR BTech or MCA or MTech only
Interview Rounds:
2 or 3 Technical rounds
Experience Level:
3 to 6 Years

📌 Data Scientist (Bengaluru)
🏢 Innominds Software
📍 Bengaluru