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


First Name

 

Middle Name

 

Last Name

 

LinkedIn

 

Contact Number

 

Email Address

 

Skype Id / Zoom ID

 

Available Start Date

 

Best time to call you in Working hours

 

Your preferred Interview time Slot

 

Work Authorization

 

Visa expire date

 

Highest Qualification

 

Year of Passing

 

University

 

Comfortable working on Dayone onsite role  Yes / No :-

 

Last 4 Digits of SSN

 

Total Years of Experience

 

Total U.S.A. Years of Experience

 

Current Location

 

Willing to Relocate (Yes/No)

 

Passport Number

 

Pay Rate (W2/1099/C2C)

 

Profile Sourced from Vendor/Partner company

 

is Consultant on there W2/1099/H1b ?

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