Business Data Scientist – Impact Measurement & Causal Inference Analytics (Remote)

About careerzynith

At careerzynith, we believe that data is more than numbers on a screen — it is the voice of millions of customers, creators, and communities whose stories shape the products and services of tomorrow. careerzynith is a forward-thinking technology and media organization that has grown into a global hub for digital content, advertising innovation, creator empowerment, and audience engagement. Our ecosystem spans video platforms, music streaming, connected TV experiences, and family-friendly products, all designed to help creators build sustainable careers while connecting brands with the audiences that matter most to them.

Behind every strategic decision at careerzynith stands a team of analysts, scientists, strategists, and operators who translate complex questions into clear, measurable outcomes. The Business Strategy and Operations group, often called the engine room of the organization, is responsible for shaping go-to-market priorities, accelerating growth, and building world-class analytical infrastructure. This team combines deep strategic thinking with a practical understanding of how to drive execution across a global organization. If you are passionate about turning ambiguity into insight, careerzynith is the place where your work will shape decisions that affect hundreds of millions of users worldwide.

The Opportunity

careerzynith is hiring a Business Data Scientist – Impact Measurement & Causal Inference Analytics to join our Impact Measurement team. This is a remote, full-time role based in Maine, USA, offering a competitive hourly rate of $30/hour, along with a comprehensive benefits package, equity participation, and performance bonuses. The role is ideal for a curious, rigorous, and impact-oriented data scientist who wants to help senior decision-makers become truly data-driven.

As a Business Data Scientist at careerzynith, you will serve as a trusted advisor to product, business, and operational leaders. You will translate vague, high-level questions into well-defined analytical problems, design studies that produce defensible answers, and communicate findings to non-technical audiences with clarity, humility, and transparency about uncertainty. Your work will directly influence how the organization invests in creators, markets products, evaluates partnerships, and measures the true impact of its initiatives.

Key Responsibilities

• Design and lead formal and informal research studies with the clear goal of answering high-impact business questions, including questions related to creator growth, monetization, audience behavior, and product adoption.
• Translate ambiguous business questions into structured analytical problems, identifying the right data sources, methods, and success metrics for each inquiry.
• Pull, clean, and analyze large datasets using SQL and statistical programming tools such as R, SAS, Stata, or MATLAB to uncover meaningful patterns and trends.
• Apply advanced causal inference techniques — including Bayesian hierarchical models, Bayesian Additive Regression Trees (BART), Bayesian Causal Forest (BCF), Gaussian Processes, and Synthetic Control methods — to measure the true impact of business initiatives.
• Design and analyze randomized controlled trials (RCTs), as well as quasi-experimental studies using observational data, to support evidence-based decision-making.
• Build statistical models including linear models, multivariate analyses, stochastic models, and sampling techniques to support ongoing measurement and forecasting.
• Present and communicate actionable insights and recommendations to executives, business leaders, and cross-functional partners, tailoring the message to both technical and non-technical audiences.
• Serve as a peer reviewer and thought partner for causal research designed by other teams, helping to raise the bar for analytical rigor across the organization.
• Stay current with the causal inference literature and proactively develop new methodologies, frameworks, and tools when existing approaches are insufficient.
• Build and maintain analytical infrastructure including data pipelines, dashboards, and reusable research components that empower the broader organization to make faster, smarter decisions.

Minimum Qualifications

• Master's degree in Computer Science, Mathematics, Applied Statistics, Data Science, Machine Learning, Economics, or a related quantitative field — or equivalent practical experience.
• Demonstrated experience articulating business and product questions and translating them into data-driven analytical work.
• Proficiency in SQL for querying and manipulating large datasets.
• Experience with at least one statistical programming language such as R, SAS, Stata, or MATLAB.
• Prior internship or work experience in data analysis, with a portfolio of projects that demonstrate end-to-end analytical thinking.
• Strong written and verbal communication skills, with the ability to explain complex analyses to non-technical stakeholders.

Preferred Qualifications

• Hands-on experience with Bayesian hierarchical models, BART, BCF, Gaussian Processes, and Synthetic Control methods.
• Experience designing and analyzing randomized controlled trials in a business or product context.
• Experience designing and analyzing causal research using observational data, including techniques such as difference-in-differences, propensity score matching, instrumental variables, and regression discontinuity.
• Deep familiarity with statistical data analysis, including linear and nonlinear models, multivariate analysis, stochastic models, and sampling techniques.
• Experience working with large-scale digital media, advertising, creator economy, or consumer product data.
• A track record of publishing or presenting research internally or externally is a plus.
• Strong sense of intellectual curiosity, ownership, and a bias toward action.

Skills and Competencies for Success

• Analytical Rigor: You question assumptions, validate methods, and never stop until the data tells a defensible story.
• Business Acumen: You understand how a media and technology business operates — from creator monetization to audience engagement — and you align your analyses with strategic priorities.
• Statistical Depth: You are comfortable moving between classical frequentist methods and modern Bayesian approaches, and you know when each is appropriate.
• Storytelling: You can craft a clear, compelling narrative from raw data, and you use visualization and structured communication to make insights stick.
• Collaboration: You thrive in cross-functional settings, partnering with product managers, engineers, designers, marketers, and senior leaders.
• Independence: You are self-directed, manage your own projects end to end, and proactively identify the questions that matter most.
• Curiosity: You actively follow the latest research in causal inference, machine learning, and econometrics, and you bring fresh ideas back to the team.

Compensation and Benefits

The US base hourly range for this full-time remote role is $30/hour, with a comprehensive benefits package that includes performance-based bonus, equity grants, and access to a wide range of wellness, learning, and family-support programs. At careerzynith, compensation is determined by role, level, and location, and is also influenced by relevant skills, experience, and education. Your recruiter will share the specific details of your offer during the hiring process. Please note that the hourly rate listed reflects base compensation and does not include bonus, equity, or benefits.

Why Work Remotely at careerzynith

careerzynith has built a remote-first culture that empowers employees to do their best work from wherever they are most productive. Our remote workforce enjoys:

• Flexibility: Manage your own schedule and work from any location with a reliable internet connection, enabling a healthier work-life balance.
• Global Collaboration: Partner with talented colleagues across time zones and disciplines, expanding your professional network and broadening your perspective.
• Reduced Commute: Eliminate daily travel time and reclaim hours each week for deep work, learning, or personal well-being.
• Autonomy and Ownership: Take charge of your projects, drive your own priorities, and align your work with the organization’s mission and values.
• Modern Technology Stack: Access best-in-class collaboration, analytics, and productivity tools that make remote work seamless and effective.
• Professional Development: Grow your career through structured learning programs, internal mobility opportunities, mentorship, and access to industry conferences.
• Wellness Support: Benefit from comprehensive wellness resources, including mental health programs, fitness subsidies, and family-friendly benefits.
• Inclusive Culture: Join a workplace that values diversity, equity, and inclusion, where every voice is heard and every contribution matters.
• Brand Prestige: Build your career at a globally recognized organization known for innovation, impact, and a commitment to making a positive difference in the world.

Career Growth and Learning

At careerzynith, your growth is our growth. As a Business Data Scientist, you will have the opportunity to deepen your expertise in causal inference, scale your impact across multiple product lines, and grow into senior individual contributor or leadership roles within the analytics organization. We invest in continuous learning through internal training programs, conference sponsorships, peer learning communities, and rotational opportunities that let you explore different parts of the business. Whether you aspire to become a principal scientist, a research lead, or a strategic analytics director, careerzynith provides the mentorship, resources, and stretch assignments to help you get there.

Our Commitment to Diversity and Inclusion

careerzynith is an equal opportunity employer that values diversity at every level of the organization. We believe that a wide range of perspectives, backgrounds, and experiences leads to better ideas, better products, and a better workplace. We welcome applications from candidates of all races, ethnicities, genders, sexual orientations, abilities, and veteran statuses, and we are committed to providing reasonable accommodations throughout the hiring process and employment lifecycle.

How to Apply

If you are a data scientist who is passionate about measuring real-world impact, advising senior decision-makers, and advancing the science of causal inference, we would love to hear from you. Please submit your resume, a brief cover letter describing your relevant experience, and any portfolio or work samples that demonstrate your analytical thinking. Join careerzynith and help us turn data into decisions that shape the future of digital media, creator empowerment, and global audience engagement.

Apply today and become part of a team where your insights drive the strategy, your methods set the standard, and your work touches the lives of creators and audiences around the world.