Data Scientist

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Key Responsibilities:

Creating innovative solutions driven by exploratory data analysis from diverse datasets
Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity
Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products
Using an analytical approach to design, develop, and implement data enrichments, predictive models, and advanced algorithms that lead to expanded value extraction from data
Leading efforts for applied use of machine learning to drive process optimization and transformation
Applying knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening)
Communicate the performance of the machine learning algorithms across an interdisciplinary team
Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
Designing and promoting best practices related to data enrichment, advanced modeling, and algorithm creation in support of analytically driven insight
Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities
Leading efforts to build sophisticated data enrichment processes that server as the single source of truth to expanded insights on base data
Ensuring complex analytics adhere to statistical best practices
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and direct

Role Proficiencies:

Bachelorâ€™s Degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
5+ years of experience in handling/active development in data science projects
5+ years of experience in Microsoft Azure Cloud, Databricks, Mlflow, Spark SQL & Python
Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc.
Highly proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
Understanding for data, schema, data model, machine learning and how to bring efficiency in big data related life cycle
Skills to create opportunities using machine learning or artificial intelligence
Proven excellent communication and presentation skills
Proven solid analytical, problem-solving skills
Proven cooperative and team player attitude

Experience:
5 - 8 Years
Salary:
12 LPA - 20 LPA
Diversity Candidate:
Yes
Location:
Delhi NCR, Bangalore, Chennai, Hyderabad. Pune.
Address:
Delhi NCR, Bangalore, Chennai, Hyderabad. Pune.
Primary Skills:
Azure Cloud, Databricks, Mlflow, Spark SQL, Python, Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging, Boosting algorithms
Industry:
Information Technology
Job Type:
Full time
Degree:
Bsc, Msc, B.tech, Mtech, BCA, MCA