Senior Applied Scientist, Causal Inference

Company Overview

Our organization is the world’s largest professional networking platform aiming to create economic opportunities for each member of the global workforce. Our suite of products facilitates strong connections, discovery of opportunities, skill-building, and insightful analytics on a daily basis. We are dedicated to fostering a workplace culture founded on trust, inclusion, care, and enjoyment to enable everyone’s success while investing in our employees' development and growth.

Job Summary

The Data Science team leverages extensive datasets to guide business strategies and provide data-driven insights that enhance member engagement, business expansion, and monetization. With an audience surpassing one billion members globally and diverse B2B and B2C initiatives, this role offers a tremendous opportunity to impact how the world works.

Responsibilities

• Collaborate with skilled analytics, data science experts, and cross-functional groups to identify business needs and devise innovative algorithms and methods to solve them.
• Investigate and interpret both structured and unstructured large-scale data sets.
• Perform comprehensive research, including model refinement, advanced experimentation, and observational causal analyses to measure causal relationships within the ecosystem, finding business opportunities that improve member and customer value.
• Create and enhance methodologies to advance our products and platform capabilities.
• Work closely with engineering teams to develop, prototype, and verify scalable end-to-end tools and applications that translate data into actionable insights.
• Advocate for and facilitate the integration of cutting-edge Data Science developments throughout the organization, raising the standards and practices of the discipline.
• Enhance the organization's ability to analyze labor market trends and other economic indicators credibly.
• Lead projects independently from initiation through to completion.
• Serve as a strategic partner to senior leaders by helping prioritize projects, offer expert recommendations, and champion data-driven decisions aligned with key objectives.
• Engage with cross-disciplinary teams to guide or support major strategic projects at the team, department, or company level.
• Provide mentorship and technical leadership to junior team members through design and code reviews.

Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, or Economics.
• At least 3 years of relevant professional or academic experience.
• Proficiency in one or more programming languages such as R, Python, Java, Ruby, Scala/Spark, or Perl.
• Experience applying statistical modeling techniques using tools like R or Python.
• Preferred candidates hold an advanced degree (MS or PhD) with relevant experience: MS with 3+ years, PhD with 1+ year.

Technical Expertise

• Machine learning methods.
• Research skills including data-driven experimentation.
• Causal inference and statistical analysis.

Work Culture and Benefits

We prioritize employees’ well-being and offer comprehensive health and wellness programs along with flexible time off across all levels. Our compensation is aligned with fair and equitable practices, ranging from $139,000 to $229,000 annually, adjusted based on individual skills, experience, certifications, and job location. Additional benefits include performance bonuses, stock options, and other incentive plans.

Additional Information

We are an equal opportunity employer committed to diversity, inclusiveness, and accessibility for all applicants, including those with disabilities. We provide reasonable accommodations throughout the hiring process upon request. Our policies strictly prohibit discrimination based on personal characteristics protected by law. We comply with fair chance hiring ordinances and federal pay transparency regulations. Further details on data privacy and employment rights are available through our compliance documentation.