Data Scientist

Full Job Description

Job Title: Data Scientist

Location: Edison, NJ Onsite

Type Fulltime / Permanent

Skill

Relevant Experience

(in Yrs)

Overall 10+ years in IT

Strong Experience in Data science projects

Strong experience in Machine learning, Deep learning etc.,

Must Have Technical/Functional Skills
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.

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

Experience Required
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.

Roles & Responsibilities
1. 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.

2. 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.

3. 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.

4. 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, and Fre chet inception distance.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.