Job Role : data scientist
Experience : 9-15 Years
Location : Pan India
Key Responsibilitie
- s: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 mode
- ls.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 plot
- ly.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 mode
- ls.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 sco
re.Mandatory Skill
- s: 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 advanta
- ge.Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven compani
- es.Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Fores
- ts.Deep Learning: CNN , RNN, LSTMs, GAN, VAEs et
- c.,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 techniqu
- es.Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job descripti
- on.Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode d
ataBasic Qualificati
- onsPhD 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 r
- ole5+ years of professional and/or postgraduate academic research experience in software engineeri
- ng.Preferred Experience with machine learning and GenAI algorithms such as large language mod
- elsPrior experience working with Python or other programming languag
- es.1+ years of experience with cloud native engineering, AWS, Azure, Goog
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