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Manager Causal Inference Jobs in Texas (NOW HIRING)

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

We are a fully transparent platform built with top technology, countless programmatic management ... Solid understanding of statistical concepts, hypothesis testing, causal inference, and regression ...

Smadex SLU

Senior Data Scientist

Austin, TX · On-site

We are a fully transparent platform built with top technology, countless programmatic management ... Solid understanding of statistical concepts, hypothesis testing, causal inference, and regression ...

Manychat

Marketing Analytics Lead

Austin, TX · On-site

You're fluent in the craft and exceptional at stakeholder management, influence, and storytelling ... causal inference. Comfortable with the tactical underpinnings - data integrations, attribution ...

Manychat

Marketing Analytics Lead

Austin, TX · On-site

You're fluent in the craft and exceptional at stakeholder management, influence, and storytelling ... causal inference. Comfortable with the tactical underpinnings - data integrations, attribution ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

... management platform. This role requires a technical expert who can develop, deploy, and maintain ML ... Strong foundation in statistics, A/B testing, causal inference, and experimental design ...

Brillio

Lead Data Analyst - R01568245

Dallas, TX · On-site +1

... causal inference) to uncover drivers of user behavior and product performance. • Collaborate cross-functionally: Work closely with Product Managers, Designers, and Engineers to embed analytics into ...

New

Corva

Senior Data Scientist

Houston, TX · On-site

Collaborate closely with product managers, software engineers, and domain experts to deliver ... Strong foundation in statistics, experimental design, and causal inference * Experience working ...

Brillio

Lead Data Analyst - R01568245

Dallas, TX

... causal inference) to uncover drivers of user behavior and product performance. Collaborate cross-functionally: Work closely with Product Managers, Designers, and Engineers to embed analytics into the ...

New

USAA

Data Scientist Senior

Plano, TX · On-site +1

Manages project milestones, risks, and impediments. Escalates potential issues that could limit ... Causal Inference * Deep Learning Framework: TensorFlow, PyTorch, or Keras * Deep Learning ...

USAA

Data Scientist Senior

Plano, TX · On-site +1

Manages project milestones, risks, and impediments. Escalates potential issues that could limit ... Causal Inference * Deep Learning Framework: TensorFlow, PyTorch, or Keras * Deep Learning ...

USAA

Data Scientist Senior

Plano, TX · On-site

Manages project milestones, risks, and impediments. Escalates potential issues that could limit ... Causal Inference * Deep Learning Framework: TensorFlow, PyTorch, or Keras * Deep Learning ...

Oracle

Snr Research Consultant

Austin, TX

Statistical analyses, including bivariate tests, causal inference methods, model assumption tests, complex modeling and data visualization; * Data cleaning, data management and analysis design using ...

Oracle

Snr Research Consultant

Austin, TX · On-site

Statistical analyses, including bivariate tests, causal inference methods, model assumption tests, complex modeling and data visualization; * Data cleaning, data management and analysis design using ...

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Manager Causal Inference information

How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What does a Manager Causal Inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
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Manager Causal Inference jobs near you

Senior Data Scientist

Smadex SLU

Austin, TX • On-site

Full-time

Medical, Dental, Vision

Re-posted 3 days ago

Job description

Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are a fully transparent platform built with top technology, countless programmatic management features and powerful machine learning algorithms to help advertisers grow their business at scale. We are currently considered one of the top mobile ad-tech companies in the world.
As a Senior Data Scientist, you won't just analyze data, you will actively shape the future of our mobile advertising platform. You will sit at the intersection of product, engineering, and business, transforming raw behavioral data from millions of global users into scalable strategies. We are looking for a high-caliber professional who thrives in ambiguity, sets high analytical standards, and translates complex insights into product decisions.
This is a full-time position based in Austin, TX
Product & ML Strategy Influence
  • Own the analytical loop that influences our Product and Machine Learning strategies. Use data to identify untapped opportunities and define what we build next.
  • Design, execute, and evaluate sophisticated experimentation frameworks (A/B testing, multivariate testing) to measure the impact of new product features and ML algorithms.
  • Establish and govern key performance frameworks to align cross-functional teams on what success looks like.
Scalable Analytics & Frameworks
  • Build reproducible data models, frameworks, and processes that allow the company to scale decision-making without reinventing the wheel.
  • Design high-impact data visualization assets that democratize data access and enable self-service insights for both technical and commercial stakeholders.
Cross-Functional Leadership
  • Act as the strategic data partner for engineering, product, and business teams, translating deep technical findings into actionable, high-level business recommendations.
  • Raise the bar for analytical rigor across the organization, mentoring junior team members and establishing best practices.
Skills & Requirements
  • Experience: 5+ years of proven experience as a Data Scientist or Product Analyst, preferably in high-growth tech environments or mobile ecosystems.
  • Education: Bachelor's or Master's degree in a highly quantitative field (Mathematics, Statistics, Computer Science, Data Science, or Economics).
  • Technical Mastery: Advanced proficiency in Python and SQL. Hands-on experience working with massive, complex datasets and modern cloud data warehouses
  • Statistical Rigor: Solid understanding of statistical concepts, hypothesis testing, causal inference, and regression methodologies.
  • Communication: Exceptional verbal and written communication skills in English. Ability to present complex technical conclusions to C-level executives and non-technical stakeholders with clarity and impact.
  • Ownership & Autonomy: Proven track record of owning projects from ambiguity to measurable business outcome. You are comfortable building the playbook, not just following it.
  • Work Authorization: Must have valid work authorization to work in the US. We do NOT provide VISA sponsorship for this role.
Preferred Qualifications (A Plus)
  • Strong background in the ad-tech industry, mobile programmatic advertising (DSP/SSP), or user acquisition (UA) dynamics.
  • Familiarity with mobile app measurement frameworks (MMPs) and concepts like LTV optimization or incrementality.
  • Experience working with global, distributed cross-functional teams.

Please note that we do NOT provide VISA sponsorship. Candidates without a work authorization to work in the US won't be considered.
What is in it for you:
  • Be part of a leading, fast-growing, innovative company shaping the future of mobile advertising.
  • Join a highly motivated and young team.
  • Possibility of traveling to the Barcelona HQ for collaboration and team-building activities after your first year.
  • Great compensation package tailored to the U.S. market.
  • Medical, dental, and vision benefits plans.
  • Exposure to leading global app publishers and media partners in the digital advertising industry.
  • Learning and training opportunities to grow your career.

Apply