Data Scientist

Job Role : data scientist Experience : 9-15 Years Location : Pan India Key Responsibilities: Data processing and visualization are essential skills for generative AI projects, as they help you to prepare and analyze the data that you use to train and test your models .Candidate should be able to perform data cleaning, manipulation, augmentation, and normalization using libraries like pandas, numpy, and scikit-learn. You should also be able to create and interpret data visualizations using libraries like matplotlib, seaborn, and plotly .Data processing and visualization can help you to understand the patterns, trends, and features of your data, as well as to identify and debug any issues or errors in your models .Candidate should also be able to use statistical methods and metrics to measure the quality and diversity of the generated outputs, such as mean squared error, KL divergence, inception score .Mandatory Skills: Programming Skill s – 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 .Statistic s – 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 Learnin g – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests .Deep Learnin g: CNN , RNN, LSTMs, GAN, VAEs etc. ,Strong Math Skill s (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 Wranglin g – 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 dat aBasic Qualification sPhD in computer science, information science, mathematics, statistics, engineering, or related field OR master's in computer science, information science, mathematics, statistics, engineering, or related field with 2+ years of experience post education in a NLP/GenAI rol e5+ years of professional and/or postgraduate academic research experience in software engineering .Preferred Experience with machine learning and GenAI algorithms such as large language model sPrior experience working with Python or other programming languages .1+ years of experience with cloud native engineering, AWS, Azure, Google .