Lead Data Scientist

2 months ago

Noida, India R Systems Full time
About the Company:
R Systems is a leading digital product engineering company that designs and builds next-gen products, platforms, and digital experiences empowering clients across various industries to overcome digital barriers, put their customers first, and achieve higher revenues as well as operational efficiency. We constantly innovate and bring fresh perspectives to harness the power of the latest technologies like cloud, automation, AI, ML, analytics, Mixed Reality etc.
About the Role:
This is a full-time role for a Lead Data Scientist.
Work Experience:
6-8 Years
Work Location:
Noida/ Pune/ Chennai
Responsibilities:
Expert knowledge of statistics and machine learning methods, including regression, classification, time series analysis, clustering, simulation, dimension reduction
Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented
Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
Expertise developing and applying machine learning algorithms
Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights
Proficient in Python, SQL, R
Experience working with data science tools ( e.g., Databricks ); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)
Proven track record of leading projects and cross-functional teams
Strong problem-solving and analytical thinking skills.
Qualifications:
Master's Degree in Data Science, statistics, mathematics, econometrics, engineering, physics, or other quantitative field of study
Equal Opportunity Statement:
At R Systems India, we embrace diversity. Inclusion is priority for us, and we are eager to foster an environment where everyone feels valued. We welcome applicants regardless of ethnicity or cultural background, age, gender, nationality, religion, disability, or sexual orientation.

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