Data Science

JOB POST: Data Scientist at Ralph Lauren, Bangalore: Apply Now!

Rishabh Prasad

Sep 20, 2022
3 min read

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Ralph Lauren is inviting applications from eligible and interested candidates for the position of Data Scientist at Bangalore.

About Ralph Lauren

Ralph Lauren Corporation is an American publicly traded fashion company that was founded in 1967 by American fashion designer Ralph Lauren. The company is headquartered in New York City, and it produces products ranging from the mid-range to the luxury segments.

About the Job

The Data scientist will collaborate with line of business users, business analysts and Solution Architects to deliver insights by implementing various algorithms and ML models. This role will leverage analytical and data science skills to solve business problems, unlock opportunities and create new insights.

This role will require both creative and collaborative working with IT and the wider business. It will involve evangelizing effective data management practices and promoting better understanding of data and analytics.

Roles & Responsibilities

Analyze Enterprise data to unlock insights
Bring in Thought Leadership for AI an ML
Exploratory Data Analysis and Generate Insights
DS and ML Model Identification and Training
Develop partnerships with Business SMEs and Data Analysts
Educate and train

Education and Experience

A Bachelors or master’s degree in computer science, statistics, information science or a related quantitative field is required.
An advanced degree in computer science (MS), statistics, applied mathematics (Ph.D.) or a related quantitative field is preferred.
Analytical skills, data governance skills, IT skills and Retail industry knowledge with a technical or computer science degree.
2-5 years or more of work experience in Data science and ML technologies.

Technical Knowledge/Skills

Strong experience with machine learning and AI including regression, forecasting, time series, cluster analysis, classification, Image recognition, NLP, and Text Analytics.
Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as R, Python, or similar.
Strong experience with popular database programming languages including SQL, PL/SQL, etc. for relational databases and on NoSQL/Hadoop oriented databases like MongoDB, Cassandra, etc for nonrelational databases.
Strong experience in working with data science teams in optimizing and implementing enterprise level data science and machine learning models and algorithms.
Relevant experience working with popular data discovery, analytics and BI software tools like MicroStrategy, Tableau, Qlik, PowerBI and others for semantic-layer-based data discovery.
Basic understanding of popular open-source and commercial data science platforms (Auto ML) such as KNIME, Alteryx, Dataiku or others is a strong plus. Basic experience in working with data governance, data quality, and data security teams and specifically and privacy and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.
Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service and others.
Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data managers and consumers across an organization

Interpersonal Skills and Characteristics

Strong experience supporting and working with cross-functional teams in a dynamic business environment.
Required to be highly creative and collaborative. Collaborate with both the business and IT teams to define the business problem, and design and develop data deliverables accordingly.
Required to have regular discussions with data consumers on optimally refining the data pipelines and deploying them in production.
Required to have the accessibility and ability to interface with stakeholders at all levels and roles within the company.
Is a confident, energetic self-starter, with strong interpersonal skills.
Has good judgment, a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity.