Data Scientist IV

Orangepeople; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k)

Dental Insurance

Health insurance

Vision insurance

Equal opportunity employer

Job summary

Orangepeople is seeking an experienced Data Scientist to shape how we reach, engage, and grow business audiences globally. You will partner with marketing, product, growth, sales, and leadership to uncover opportunities, measure what matters, and turn insights into action.

You will apply statistics, ML, experimentation, and causal inference to optimize campaigns and growth initiatives, with autonomy and direct influence on marketing strategy.

Qualifications

• Bachelor's degree with statistics/quantitative focus.
• 6+ years of experience in data science, preferably in marketing.
• Strong grounding in statistics and familiarity with ML, experimentation, or causal inference.
• Ability to perform business analysis and measure impact.

Responsibilities

• Drive data-driven decision-making with cross-functional stakeholders to optimize marketing performance.
• Develop measurement frameworks to assess marketing campaigns' impact on perception, engagement, and revenue growth.
• Analyze global advertiser engagement and collaborate with product, growth, marketing, sales, and leadership to shape marketing strategy.
• Create data science solutions to maximize growth among business audiences, including targeting and content personalization.
• Leverage experimentation and causal inference techniques to drive real impact for Marketing.
• Provide status updates and participate in OP monthly team meetings and knowledge sharing.

Skills

Descriptive analysis

ML concepts

Experimentation

Causal inference

Education

Bachelor's degree in statistics/related field

Job description

We’re looking for an experienced Data Scientist to help shape how we reach, engage, and grow business audiences around the world. You’ll partner with teams across marketing, product, growth, sales, and leadership to uncover opportunities, measure what matters, and turn insights into action.

You’ll be a strong fit if you bring experience in data science for marketing or another business-focused area, along with a solid grounding in statistics and familiarity with machine learning, experimentation, or causal inference.

Responsibilities:

• You will work closely with cross-functional stakeholders to drive data-driven decision-making and optimize marketing performance.
• You will develop and implement measurement frameworks to assess the impact of marketing campaigns on perception, engagement, and revenue growth.
• You will dive deep into strategic analysis to drive optimizations in how we connect with advertisers of all sizes around the world, and will collaborate with product, growth, marketing, sales, and leadership teams to drive impactful change and shape the future of the company.
• You will create data science solutions to maximize growth among business audiences, including advanced targeting and dynamic content personalization.
• You’ll have the opportunity to leverage your skills in experimentation, causal inference, AI/ML, and statistics, combined with business understanding, to drive real impact for Marketing.
• You will have autonomy and influence, with direct impact on marketing strategy and decision-making.

Required Skills:

• Minimum 6 years of experience.
• Ability to do impactful business analysis, including descriptive analysis, ML, etc.
• Familiarity with machine learning or causal inference concepts.
• Familiarity with testing and the statistics behind testing.

Preferred Skills:

• Marketing DS experience.
• Deeper familiarity with experimental systems.

Education/Experience:

• Bachelor's degree; needs to be able to understand statistics/have statistics experience.

Benefits:

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.

Additional Responsibilities:

• Participate in OP monthly team meetings and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.

About us:

At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we’ve been challenging the status quo of the consulting industry serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.