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 – 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 – valuable knowledge of machine learning methods like k-Nearest Neighbours, 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 matplotlib, ggplot, d3.Js., Tableau that help to visually encode data. Excellent Communication Skills – it is incredibly key 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. 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