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From: [email protected] <[email protected]> On Behalf Of Revanth yadav
Sent: Thursday, October 10, 2024 4:54 PM
To: [email protected]
Subject: Sr. Data Scientist || Whippany, NJ(Hybrid) || | Do Not Send without Looking Skills and Filling Details Inbox

Hi Partners,

Please share profiles for below position:

Title: Sr. Data Scientist

Location: Whippany, NJ(Hybrid 2 days/ week)

Type/Duration: Contract/Long Term

Experience: 8+ Years

JOB DESCRIPTION:

•            Data Analysis: Conduct advanced statistical analysis to interpret and extract meaningful insights from large datasets.

•            Extract data into presentable reports, charts, and graphs.

•            Analyze and interpret data to find outliers, understand root cause, business impact, correlations/discrepancies, and propose changes/alternate solutions.

•            Discover patterns/root causes, and generate insights to drive product enhancements

•            Machine Learning: Develop, implement, and optimize machine learning models to support various business initiatives.

•            Analyze and evaluate the quality of data used for model training and testing.

•            Create and present proposals and results in an intuitive, data-backed manner, along with actionable insights and recommendations to drive business decisions

•            Project Leadership: Lead data science projects from conception to deployment, ensuring timely delivery and high-quality outcomes.

•            Collaboration: Work closely with product managers, engineers, and other stakeholders to understand business needs and align data solutions accordingly.

•            Mentorship: Mentor and guide junior data scientists and analysts, fostering a collaborative and growth-oriented environment.

•            Data Infrastructure: Contribute to the development and maintenance of data pipelines, ensuring data accuracy and accessibility.

•            Reporting: Prepare and present analytical reports and visualizations to communicate findings to both technical and non-technical audiences.

Qualifications

•             Education: Master’s or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field.

•             Experience: Minimum of 5 years of experience in data science or a related field.

•             Expert in AWS AI/ML, GenAI tools e.g. SageMaker, Bedrock etc.

•             Technical Skills: Proficiency in programming languages such as Python, R, and SQL.

•            Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI).

•             Experienced in Identity and Access management, data protection, data privacy standards

•             Experienced in building model/tooling around continuous auditing

•             Analytical Skills: Strong analytical and problem-solving skills, with a keen attention to detail.

•             Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex concepts to diverse audiences.

•             Team Player: Ability to work effectively in a team environment and independently.

Preferred Qualifications

•             Experience in the industry relevant to the company’s domain (e.g., finance, healthcare, e-commerce).

•             Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure).

•             Experience with big data technologies (e.g., Hadoop, Spark).

•             Published research or contributions to open-source projects.

Please attach with DL& Visa copy

Submission process format

Srujan_ML_Data-Science-Engineer-3.doc
Shanmuki_ML_Data-Science-Engineer-002.doc