What are the responsibilities and job description for the Data Scientist position at Rose International?
Date Posted: 01/26/2026
Hiring Organization: Rose International
Position Number: 496138
Industry: Social Media
Job Title: Data Scientist
Job Location: Menlo Park, CA, USA, 94025
Work Model: Onsite
Shift: Mon - Fri 40 hours
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 6
Min Hourly Rate($): 70.00
Max Hourly Rate($): 80.00
Must Have Skills/Attributes: Python, R, SQL, Tableau
Experience Desired: Data science experience (5 yrs); Strong proficiency in SQL, Python / R and at least one programming language (5 yrs); Data Visualization: Experience with tools like Tableau, Unidash, or Metrics360 (5 yrs); Strong analytical & modeling skills (5 yrs); Products analysis experience (5 yrs); Experience with large-scale datasets (5 yrs); Ability to present complex findings clearly and work cross-functionally (5 yrs)
Required Minimum Education: Bachelor’s Degree
Preferred Education: Master’s Degree
**C2C is not available**
Job Description
Client Onsite Location: Onsite in Menlo Park, CA
Attach portfolio on resume
Required
Responsibilities
Data Analysis & Modeling:
Conduct rigorous analysis of complex datasets to identify trends, patterns, and actionable insights pertinent to Client ecosystem (products, partners, platforms, and user interactions).
Metric Development
Design, implement, and meticulously maintain critical metrics to accurately measure ecosystem health, growth, and engagement.
Experimentation
Develop and execute structured experiments to rigorously evaluate new features, strategic partnerships, and ecosystem strategies.
Stakeholder Collaboration
Engage closely with cross-functional teams (Product, Engineering) to formally define requirements, deliver comprehensive insights, and inform strategic decision-making.
Reporting & Visualization
Construct sophisticated dashboards and detailed reports to effectively communicate findings to both technical and non-technical stakeholders.
Ad Hoc Analysis
Provide timely, high-quality analytical responses to urgent business inquiries.
Minimum Qualifications
A Bachelor’s or Master’s degree is required in Data Science, Statistics, Computer Science, Economics, or a closely related quantitative field.
A minimum of five (5) years of professional experience in data science, analytics, or a functionally equivalent role (either contract or full-time employment).
Demonstrated proficiency in SQL and at least one high-level programming language (e.g., Python, R).
Practical experience utilizing data visualization platforms (e.g., Tableau, Unidash, Metrics360).
Exceptional communication skills, with the proven ability to articulate and present complex findings with clarity and precision.
The capacity to operate autonomously and effectively manage competing priorities within a dynamic, high-velocity operational environment.
Preferred Qualifications
Significant experience working with large-scale data infrastructure within technology or platform ecosystems.
Familiarity with Client proprietary internal data tools (e.g., Presto, Scuba, Hive).
Previous professional engagement in a contractor or consulting capacity.
Substantive knowledge of formal experimentation design principles and causal inference methodologies.
Must-Have Skills
Advanced Data Analysis & Modeling: Strong proficiency in SQL and at least one programming language (Python, R, etc.).
Data Visualization: Experience with tools like Tableau, Unidash, or Metrics360.
Communication & Collaboration: Ability to present complex findings clearly and work cross-functionally.
Nice-to-Have Skills
Large-Scale Data Experience: Prior work with big data in tech/platform ecosystems.
Client Internal Tools: Familiarity with Presto, Scuba, Hive, etc.
Experimentation & Causal Inference: Knowledge of experiment design and causal analysis.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 496138
Industry: Social Media
Job Title: Data Scientist
Job Location: Menlo Park, CA, USA, 94025
Work Model: Onsite
Shift: Mon - Fri 40 hours
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 6
Min Hourly Rate($): 70.00
Max Hourly Rate($): 80.00
Must Have Skills/Attributes: Python, R, SQL, Tableau
Experience Desired: Data science experience (5 yrs); Strong proficiency in SQL, Python / R and at least one programming language (5 yrs); Data Visualization: Experience with tools like Tableau, Unidash, or Metrics360 (5 yrs); Strong analytical & modeling skills (5 yrs); Products analysis experience (5 yrs); Experience with large-scale datasets (5 yrs); Ability to present complex findings clearly and work cross-functionally (5 yrs)
Required Minimum Education: Bachelor’s Degree
Preferred Education: Master’s Degree
**C2C is not available**
Job Description
Client Onsite Location: Onsite in Menlo Park, CA
Attach portfolio on resume
Required
- Bachelor's or Masters in Data Science, Statistics, Computer Science, Economics, or a closely related quantitative field
- 5 years data science experience (SQL, Python/R)
- Advanced Data Analysis & Modeling: Strong proficiency in SQL and at least one programming language (Python, R, etc.)
- Skilled in data visualization (Tableau, Unidash, Metrics360)
- Excellent communicator & collaborator
- Experience with large-scale datasets
- Ability to present complex findings clearly and work cross-functionally
- Able to work independently, fast-paced environment
- Products analysis experience
- Large-Scale Data Experience: Prior work with big data in tech/platform ecosystems.
- Meta Internal Tools: Familiarity with Presto, Scuba, Hive, etc.
- Experimentation & Causal Inference: Knowledge of experiment design and causal analysis.
Responsibilities
Data Analysis & Modeling:
Conduct rigorous analysis of complex datasets to identify trends, patterns, and actionable insights pertinent to Client ecosystem (products, partners, platforms, and user interactions).
Metric Development
Design, implement, and meticulously maintain critical metrics to accurately measure ecosystem health, growth, and engagement.
Experimentation
Develop and execute structured experiments to rigorously evaluate new features, strategic partnerships, and ecosystem strategies.
Stakeholder Collaboration
Engage closely with cross-functional teams (Product, Engineering) to formally define requirements, deliver comprehensive insights, and inform strategic decision-making.
Reporting & Visualization
Construct sophisticated dashboards and detailed reports to effectively communicate findings to both technical and non-technical stakeholders.
Ad Hoc Analysis
Provide timely, high-quality analytical responses to urgent business inquiries.
Minimum Qualifications
A Bachelor’s or Master’s degree is required in Data Science, Statistics, Computer Science, Economics, or a closely related quantitative field.
A minimum of five (5) years of professional experience in data science, analytics, or a functionally equivalent role (either contract or full-time employment).
Demonstrated proficiency in SQL and at least one high-level programming language (e.g., Python, R).
Practical experience utilizing data visualization platforms (e.g., Tableau, Unidash, Metrics360).
Exceptional communication skills, with the proven ability to articulate and present complex findings with clarity and precision.
The capacity to operate autonomously and effectively manage competing priorities within a dynamic, high-velocity operational environment.
Preferred Qualifications
Significant experience working with large-scale data infrastructure within technology or platform ecosystems.
Familiarity with Client proprietary internal data tools (e.g., Presto, Scuba, Hive).
Previous professional engagement in a contractor or consulting capacity.
Substantive knowledge of formal experimentation design principles and causal inference methodologies.
Must-Have Skills
Advanced Data Analysis & Modeling: Strong proficiency in SQL and at least one programming language (Python, R, etc.).
Data Visualization: Experience with tools like Tableau, Unidash, or Metrics360.
Communication & Collaboration: Ability to present complex findings clearly and work cross-functionally.
Nice-to-Have Skills
Large-Scale Data Experience: Prior work with big data in tech/platform ecosystems.
Client Internal Tools: Familiarity with Presto, Scuba, Hive, etc.
Experimentation & Causal Inference: Knowledge of experiment design and causal analysis.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).