Data Scientist

Posted 1 year ago
Job closed
Tuple

Data Scientist

Our Client - Internet company

  • Menlo Park, CA
$75.17 - $85.52/hour
Exact compensation may vary based on skills, experience, and location.
40 hrs/wk
Contract (w2)
Remote work partially (40%)
Travel not required
Start date
February 28, 2024
End date
August 28, 2024
Superpower
Technology
Capabilities
Data Science and Machine Learning
Business Intelligence
Preferred skills
SQL (Programming Language)
Python (Programming Language)
Dataset
Data Visualization
Data Modeling
Big Data
Tableau (Business Intelligence Software)
Predictive Modeling
Machine Learning
Data Science
Exploratory Data Analysis
Apache Hadoop
Business Intelligence
Data Analysis
R (Programming Language)
Preferred industry experience
Internet
Experience level
5 - 8 years experience

Job description

***The salary range for this position is $75.17 - $85.52 per hour.***

***Please note, that all applicants applying for US job openings must be legally authorized to work in the United States.***

Our Customer’s mission is to give people the power to build community and bring the world closer together. Through their family of apps and services, they are building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together.

We are seeking a Data Scientist on a contract basis to help support our customer’s business needs. The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. This role is a hybrid setup with 3 days onsite and 2 days remote in Menlo Park, CA.

What You’ll Do:

  • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
  • Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
  • Generate and test hypotheses and analyze and interpret the results of product experiments
  • Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation
  • Provide Business Intelligence (BI) and data visualization support, which includes, but is limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support

Must-Haves:

  • 5-7 years of tech product experience
  • Experience working with large data sets, analyzing and interpreting A/B testing results for product decisions
  • Experience in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau
  • Ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics
  • Experience working with large datasets
  • Strong knowledge of modeling and machine learning preferred

Education:

  • Master of Science degree in statistics, computer science, or in a relevant field

Hours & Location:

  • M-F, 40 hours/week. This role will be a hybrid setup with 3 days onsite and 2 days remote in Menlo Park, CA.

Perks are available through our 3rd Party Employer of Record (Available upon completion of the waiting period for eligible engagements)

  • Health Benefits: Medical, Dental, Vision, 401k, FSA, Commuter Benefit Program
  • Accrued PTO: Up to 15 days per 12 months on assignment
  • New Child Benefit: Up to $4,000 for the birth or adoption of a child while on assignment (conditions apply)

All applicants applying for U.S. job openings must be legally authorized to work in the United States and are required to have U.S. residency at the time of application.

If you are a person with a disability needing assistance with the application, or at any point in the hiring process, please contact us at support@themomproject.com.