Senior Data Scientist

The Data Scientist role will support the execution of research and delivery of insights for Dynata clients around the globe. The Data Scientist will be responsible for executing, delivering, and explaining a suite of data science products and research activities to Dynata’s global client base.   The Data Scientist role will also be directly involved in the development of new methodologies and survey research approaches that expand our ability to service Dynata’s clients. This role involves direct interaction with internal and external client stakeholders so strong written and oral communication skills are required with the ability to independently write, analyze, and present findings.

RESPONSIBILITES 

• Serve as statistical research advisor to internal & external stakeholders supporting Dynata’s Global clients and their research needs.

• Provide execution and delivery support for data science products and research activities.

• Designing, managing, analyzing, and delivering high quality advanced analytics, including visualization of research findings, summary of findings with recommendations, and presentation to clients.

• Contribute to the development of new methodologies and approaches to survey research as well as to the continual enhancement and expansion of Dynata’s growing portfolio of data, research, and analytics products.

REQUIREMENTS

• 3-5 years of experience in a data science role with evidence of success or advancement

• Experience with survey research is helpful, especially AdTech or MarTech experience.

• Very strong background in statistics and statistical hypothesis testing

• Experience with both classical frequentist and modern MCMC based Bayesian approaches is strongly preferred (at least one is required!)

• Good understanding of SQL and experience accessing data sets through databases.

• Strong knowledge of Python (strongly preferred) and/or R with experience in a broad array of statistical and data science packages (Tidyverse dialect is preferred for the R language)

• Experience with SPSS is a plus.

• Strong programming skills with an understanding of software engineering best practices and tools including GIT.

• Experience contributing to collaborative software development efforts.

• Experience with JIRA, Confluence, GIT.

• Thorough understanding of regression and GLMs, clustering, and classification

• Strong communication and presentation skills; highly motivated, self-directed, and capable of working under minimal supervision with a high level of initiative, energy, and enthusiasm for learning

• Superior organizational skills and attention to detail

• Ability to manage multiple projects simultaneously and work with tight deadlines while maintaining a strong client service orientation

• Highly proficient with MS Word, Excel, and PowerPoint.

• bachelor's degree in relevant quantitative discipline, Master's degree a plus

• Nice to have: exposure/experience with supervised learning machine learning.

At Dynata, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. Dynata welcomes and encourages applications from people with disabilities. We are committed to an inclusive work culture for all our employees. Accommodations by request can be made for all aspects of the selection process.

Dynata is also an affirmative action employer OE/Minority/Female/Veteran/Disabled/Sex/Sexual Orientation/Gender Identity or Expression/Race/Color/National Origin/Age/Religion/Genetic Information/Marital Status/Height/Weight or any other legally protected category defined by applicable federal state or local laws and ordinances, so as to further the principles of equal employment opportunity.

The base salary range for this position in is $100k-$120k/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience. A discretionary incentive program may be provided as part of the compensation package, in addition to a full range of medical and other benefits, dependent on full-time employment status.