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 |
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Middle Name |
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Last Name |
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Contact Number |
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Email Address |
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Skype Id / Zoom ID |
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Available Start Date |
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Best time to call you in Working hours |
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Your preferred Interview time Slot |
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Work Authorization |
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Visa expire date |
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Highest Qualification |
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Year of Passing |
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University |
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Comfortable working on Dayone onsite role Yes / No :- |
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Last 4 Digits of SSN |
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Total Years of Experience |
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Total U.S.A. Years of Experience |
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Current Location |
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Willing to Relocate (Yes/No) |
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Passport Number |
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Pay Rate (W2/1099/C2C) |
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Profile Sourced from Vendor/Partner company |
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is Consultant on there W2/1099/H1b ? |