Data Scientist IV

Jobgether; Oregon; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote

Six-month contract

Medical benefits

401(k) plan

Paid holidays

Career development

Job summary

Jobgether is seeking an experienced Data Scientist IV in the United States for a six-month fully remote consulting engagement. You will drive data-informed decision-making, apply advanced analytics, and develop measurement frameworks to improve marketing performance.

You will collaborate with product, growth, marketing, sales, and leadership teams, translating business challenges into analytical solutions and communicating results to stakeholders.

Qualifications

• Strong quantitative background with practical data science in marketing analytics and performance measurement.
• Experience applying ML and causal inference to business problems.
• Ability to translate complex data into actionable insights for non-technical audiences.

Responsibilities

• Apply advanced analytics to evaluate marketing initiatives and identify performance opportunities.
• Develop measurement frameworks to assess campaigns, brand perception, and revenue growth.
• Use experimentation and causal inference to guide business optimization and decision-making.
• Collaborate with product, growth, marketing, sales, and leadership to translate problems into analytical solutions.
• Present findings clearly to stakeholders and contribute to internal knowledge sharing.

Skills

Descriptive analytics

Machine learning

Causal inference

Statistical testing

Experimental design

Data storytelling

Cross-functional collaboration

Education

Bachelor's degree in quantitative field

Statistics/Mathematics/CS/Data Science/Economics degree preferred

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist IV based in the United States. We are seeking an experienced Data Scientist to drive data-informed decision-making and improve marketing performance through advanced analytics, experimentation, and machine learning. In this remote consulting role, you will transform complex business and marketing data into actionable insights that support strategic decisions and measurable growth. You will design measurement frameworks, evaluate campaign effectiveness, and apply statistical methods and causal inference to understand business outcomes. Working closely with product, growth, marketing, sales, and leadership teams, you will help shape targeting strategies, audience development, and content personalization. You will also contribute to internal knowledge-sharing initiatives and collaborate with a broader data science and digital transformation community.

This is a six-month engagement for a professional who combines technical depth with strong business judgment and communication skills.

Accountabilities

You will apply advanced analytical techniques to solve business challenges, evaluate marketing initiatives, and identify opportunities for performance improvement.

• Conduct business analyses using descriptive analytics, machine learning, statistical methods, and other data science techniques to identify opportunities and support strategic decisions.
• Develop and implement measurement frameworks to evaluate marketing campaigns and assess their impact on brand perception, audience engagement, and revenue growth.
• Apply experimentation, statistical testing, and causal inference methods to measure outcomes, validate hypotheses, and guide business optimization.
• Analyze marketing and business performance data to identify trends and generate actionable recommendations.
• Develop data science solutions that support audience and business growth through advanced targeting, predictive modeling, and dynamic content personalization.
• Collaborate with product, growth, marketing, sales, and leadership teams to translate business challenges into analytical solutions.
• Present findings, recommendations, and analytical results clearly to stakeholders to inform marketing strategy and future initiatives.
• Participate in regular internal practice community meetings and contribute to knowledge-sharing activities.
• Collaborate with the broader practice team on industry thought leadership, client case studies, blogs, and other learning materials.
• Develop content and resources that support digital transformation initiatives.
• Participate in internal networking events, both virtual and in person.
• Work with leadership on professional development and career advancement opportunities.

Requirements

The ideal candidate combines strong quantitative expertise with practical experience applying data science methods to business problems, particularly in marketing analytics and performance measurement.

• At least 6 years of relevant experience in data science, analytics, or another quantitative discipline.
• Bachelor's degree in a quantitative or related field, with a strong foundation in statistics.
• Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related discipline preferred.
• Demonstrated ability to conduct impactful business analysis using descriptive analytics, machine learning, and related data science techniques.
• Familiarity with machine learning concepts and causal inference, including their practical business applications.
• Knowledge of statistical testing, experimental design, and the statistical principles underlying experimentation.
• Strong analytical and problem-solving skills, with the ability to translate complex datasets into clear, actionable business insights.
• Ability to collaborate effectively with cross-functional stakeholders and communicate technical findings to both technical and non-technical audiences.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience applying data science techniques to marketing analytics, campaign measurement, and marketing performance optimization.
• Familiarity with experimentation platforms, experimental systems, and large-scale testing frameworks.
• Experience with advanced targeting, personalization, and predictive modeling to support audience or business growth.
• Previous experience working at Meta.

Benefits

• Hourly compensation not specified in the listing.
• Six-month contract engagement.
• Fully remote work arrangement.
• Comprehensive medical benefits.
• 401(k) plan with employer matching.
• Paid holidays.
• Access to networking, career development, and learning programs.
• Opportunities to collaborate with high-performance teams and work with large enterprise clients across multiple industries.
• Respectful and empowering work environment focused on professional growth and recognition.