Home

Need 15+ Years - Data Scientist - Remote at Remote, Remote, USA
Email: [email protected]
From:

Dhanasri,

Nam Info

[email protected]

Reply to: [email protected]

Hello Partners,

Hope you are doing good!!!

Please find the Job description. Kindly share resumes along with contact details and send it to

[email protected]
.

Job Title: Sr. Data Scientist

Location: Remote

Job Type: Full time

Experience: 15+ Years

Job Description

We are seeking a highly skilled and experienced Senior Data Scientist with deep knowledge in car leasing, specifically in residual value and residual risk analysis. The ideal candidate will have a strong background in data science, predictive analytics, and predictive modeling, combined with expertise in Azure Machine Learning, MLOps, and a solid understanding of Python and SAS.

Responsibilities

Conduct in-depth analysis of car leasing data, with a specific focus on residual value and residual risk.

Develop and implement predictive models and algorithms to forecast residual values and assess residual risks accurately.

Collaborate with cross-functional teams to gather and validate data, ensuring data quality and accuracy.

Utilize Azure Machine Learning platform to build, deploy, and manage machine learning models and pipelines.

pply MLOps practices to streamline the end-to-end machine learning lifecycle, from data preparation to model deployment and monitoring.

Explore and leverage various statistical modeling techniques to improve predictive analytics capabilities.

Interpret and communicate analytical insights and recommendations effectively to stakeholders and decision-makers.

Stay updated with the latest trends and advancements in the field of data science, machine learning, and car leasing industry.

Requirements

Bachelor's/Master's/Ph.D. degree in Computer Science, Data Science, Statistics, or a related field.

Proven experience as a Data Scientist, with a focus on car leasing, residual value, and residual risk analysis.

Strong expertise in Azure Machine Learning, MLOps, predictive analytics, and predictive modeling.

Proficient in Python and SaS programming languages, with a solid understanding of data manipulation and analysis libraries (e.g., Pandas, NumPy).

Experience in working with large datasets and implementing data preprocessing techniques.

Familiarity with statistical modeling techniques such as linear regression, decision trees, random forests, and gradient boosting.

Strong problem-solving skills and the ability to address complex business challenges using data-driven approaches.

Excellent communication and presentation skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.

Proven ability to work effectively in a collaborative team environment and manage multiple projects simultaneously.

Preferred Qualifications

Previous experience in the car leasing or automotive industry.

Familiarity with cloud-based data platforms and services, such as Azure Data Lake and Azure Databricks.

Knowledge of data visualization tools (Power BI) for creating intuitive and impactful visualizations.

Experience with SQL and relational databases.

Thanks & Regards,

Dhanasri

Sr. Executive Staffing

Nam Info Inc

Email

[email protected]

Website -

www.nam-it.com

2525 US Highway 130, BLDG D, Suite 2

Cranbury, NJ 08512

USA | CANADA | INDIA

MBE Certified Company , E Verify Company

Follow us on :

Keywords: business intelligence information technology New Jersey
Need 15+ Years - Data Scientist - Remote
[email protected]
[email protected]
View all
Wed May 29 01:22:00 UTC 2024

To remove this job post send "job_kill 1432001" as subject from [email protected] to [email protected]. Do not write anything extra in the subject line as this is a automatic system which will not work otherwise.


Your reply to [email protected] -
To       

Subject   
Message -

Your email id:

Captcha Image:
Captcha Code:


Pages not loading, taking too much time to load, server timeout or unavailable, or any other issues please contact admin at [email protected]
Time Taken: 0

Location: ,