Data Scientist OR Associate Data Scientist (Classical ML)

Gartner

1 - 6 years

9 - 19 Lacs

gurugram

Posted:2 days ago| Platform:

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Skills Required

machine learning decision tree logistic regression xgboost gradient boosting k-means linear regression classification time series random forest

Work Mode

Hybrid

Job Type

Full Time

Job Description

About the role:

What you will do:

Deliver modeling and analytical insights to inform strategic and operational initiatives
Conduct all phases of the model development process. Including: Understanding business issues, proposing technical solutions, data wrangling, data cleaning, data analysis, feature engineering, model selection, model development, model validation, model operationalization, presentation of results and insights, model implementation, model documentation
Convert top-down business initiative requirements into actionable data analytics projects as well as conceiving and proposing a bottom-up analytics innovations
Communicate technical solutions and results to business stakeholders
Partner with business stakeholders, IT and lead the design and delivery ML solutions
Inject the most applicable technology, including Machine Learning, Artificial Intelligence, Natural Language Processing and Statistical Modeling
Continuously innovate with state of art techniques to improve the model

What you will need:

For Data Scientist 3-6 years & for Associate Data Scientist 1-3 years of experience in solving real life business problems using ML & Data Science
Bachelor's degree is required. Master's degree preferred. Technical degrees with a concentration in statistics, data science, computer science or related field preferred
In-depth knowledge of statistical methods & principles and its usage in the model building & data analysis
Experience in applying descriptive, predictive, prescriptive models & data visualization to solve real life business problems
Understanding of NLP concepts and its application is preferred
Expertise in Python, SQL, Spark
Experience with multiple modeling techniques such as: Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, Dimensionality Reduction
MLOps experience is preferred (implementing models/algorithms into production systems)
Ability to work in a fast-paced environment and deliver against milestones
Excellent communication skills in technical and business domains
Proven ability to influence key stakeholders and leaders

What you will get:

Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
Collaborative, team-oriented culture that embraces diversity
Professional development and unlimited growth opportunities

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