Data Science Intern at Hearst Newspapers tackling real - world challenges in digital media. Collaborating with teams to derive insights and influence business strategies.
SF
Hybrid Senior Data Scientist, Experimental Design, Statistical Inference
Posted 2 months ago
About the role
- Senior Data Scientist improving experimental design and statistical inference at Fidelity. Leading complex experiments and driving a culture of data-driven decisions in marketing.
Responsibilities
- help develop and drive strategic analytical initiatives
- contribute to improving our use of experimentation and statistical methods
- lead designs of complex experiments across the Fidelity Wealth organization
- serve as a thought leader
- help drive culture and governance to help us further in our growth as a test and learn driven organization
- be a key member of our team driving the future state of methodology in our in-house measurement platform
- help enhance platform statistical methods
- work with engineering on implementation
- lead education for adoption
Requirements
- PhD (preferred) or Masters in a quantitative/field such as Statistics, Biostatistics, quantitative Social Science (including but not limited to economists), Epidemiology, Public Health, Engineering, Computer Science, or related field
- 3-5 years post PhD or 7-10 post Masters of proven experience applying experimental design and statistical inference to academic and non-academic problems
- Strong understanding of core concepts in experimental design including randomization, blocking, factorial designs, cluster designs
- Expertise in using and explaining statistical inference methods for experimental and quasi-experimental circumstances
- Statistical experience using a mix of modeling and inference methods with cross-sectional, longitudinal and time-series data
- Experience developing experimental designs; ideally in a marketing, web, social media, industrial, pharma, or other corporate context
- Candidate would, ideally, have some experience in A/B testing, email experimentation, and similar problems in a corporate setting
- Experience working on cross-disciplinary teams that include engineers, scientists, and non-technical team members
- Demonstrated proficiency in programming, modeling and analysis using Python or R
- Familiarity with core libraries in either language
- Experience querying and analyzing data with contemporary databases such as Snowflake using SQL (and scripting languages as needed)
- Some experience using data visualization tools or libraries
Benefits
- comprehensive health care coverage and emotional well-being support
- market-leading retirement
- generous paid time off and parental leave
- charitable giving employee match program
- educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
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