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About the role
Description: Data Scientist / AIML Engineer: 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 and LLM tools such as GPT 4.o, Gemini, Claude. 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 Power BI, 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 Analyst or Data Scientist .
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