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Senior Data Scientist, Causal and Statistical Inference

1 month ago

Boston, United States Fidelity TalentSource LLC Full time



Job Description:

Are you passionate about using causal inference and statistics to improve product offerings? Are you ready to serve as an inspiring leader in the use of statistical and causal inference to optimize every aspect of the customer experience? Do you want to enable better measurement and decision-making from campaigns and experiments?

If yes, we want you to join our upbeat and hardworking team and make a real-world difference for Fidelity s 36 million individual investors.

The Team

We are looking for an accomplished statistical and causal inference scientist to be a creative and collaborative team member, helping develop and drive strategic analytical initiatives. As a key member of Marketing Measurement and Analysis team you will help enhance our adoption and use of statistical and causal inference methods. You ll be a key member of our team driving the future state of our in-house measurement platform. You will help enhance platform methods, work with engineering on implementation, and lead education for adoption. The team will look up to you as a senior subject matter authority in causal and statistical inference. The optimal candidate will have a mix of statistical and causal inference, programming skills, communication abilities, and talent at working with teams. This role can be located in our Boston, MA Smithfield RI, or Westlake TX offices

The Expertise We re Looking For

  • PhD or Masters in a quantitative/field such as Statistics, Biostatistics, quantitative Social Science (not limited to economists), Epidemiology, Public Health, Engineering, Computer Science, or related field.
  • 1-2 years (post PhD or 5-6 post Masters) of proven experience applying causal and statistical inference to academic and non-academic problems. If academic, please list publications in resume.
  • Postdocs and early career scientists/faculty/adjuncts are strongly encouraged to apply.
  • Expert level understanding in potential outcomes causal inference methods such as matching, difference in differences, and synthetic controls. Some understanding of structural causal model and graphical methods is a plus.
  • Expertise in using and explaining statistical inference methods for experimental and quasi-experimental circumstances; ideally using both frequentist and Bayesian approaches.
  • Expertise in explaining causal and statistical inference methods to non-technical partners.
  • Experience working on cross-disciplinary teams that include engineers, scientists, and non-technical team members.
  • Demonstrated proficiency in modeling and analysis using Python (preferred) or R. Familiarity with core libraries in either language. R experts must be willing to move to Python.
  • Programming experience in Python or R feel free to include links to public Git repos that demonstrate your abilities. Some experience using libraries like streamlit or Shiny is desirable.
  • Some experience in experimental design and analysis is a plus.
  • Experience querying and analyzing data using contemporary databases such as Snowflake and AWS Athena using SQL (and scripting languages as needed.)
  • Some experience using data visualization tools or libraries.

(It is unlikely that anyone has all the above expertise so please don t hesitate to apply if you only meet a subset.)

The Skills You Bring

  • Demonstrated experience in learning and adopting the right statistical or causal inference method for the right problem.
  • Proven track record presenting to non-technical audiences \u2014 delivering relevant insights through data analytics/research and then communicating sophisticated data, analyses, statistics, and research findings in a simple, clear, and relevant way
  • Ability to form strategic partnerships to deliver value for key partners
  • Exemplify passion for your work, operating with a sense of purpose that encourages and motivates the entire team.
  • Enthusiasm and energy at collaborating, educating, and helping create community around better uses of statistical and causal inference.
  • Natural intellectual curiosity, initiative, and love for learning new skills and capabilities.
The Value You Deliver
  • Empowering customer experience and product development teams with cross-business and meaningful insights to enable objective, informed decisions
  • Formulating and executing learning agendas, raising strategic and provocative questions that stretch the thinking of the team
  • Continuously improving analytic capabilities and spreading that knowledge and expertise throughout the organization to facilitate self-service
Certifications:

Company Overview

Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients money.

Join Us

At Fidelity, you ll find endless opportunities to build a meaningful career that positively impacts peoples lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a

Glassdoor Employees Choice Award , we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don t need a finance background to succeed at Fidelity\u2014we offer a range of opportunities for learning so you can build the career you ve always imagined. Fidelity's working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks).

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation,

detailed in this document , and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

We invite you to Find Your Fidelity at

.

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to

accommodations@ .