About the role-
Primarily focused on:
Lead Quickplay’s core data science team as a thought leader inclusive of debating and influencing our technical strategies as they apply to the data science discipline
Identify business trends and problems through complex big data analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
Communicating verbally and in writing to customers/prospects with various levels of technical knowledge, pitching Quickplay’s data science capabilities, educating them about our data systems, as well as sharing insights and recommendations
Determine the appropriate tools, techniques, and methodologies to extract data that produces meaningful results
Interpret results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently
Provide thought leadership and influence various aspects of the AI/ML pipeline including feature extraction, feature engineering, AI/ML model selection, training and deployment
Work closely with Product Management/Analytics teams to ensure that key customer KPIs are tracked, monitored and improved
Work with academic institutions/universities to conduct research in strategic problem areas for our business
Setting and executing on the technical roadmap for the Data Science
Quickplay staff reports into offices in a hybrid capacity (i.e partially at home, and partially at the office based on role/team needs) leveraging safety protocols aligned with local public health guidelines as they relate to COVID-19.
Success in this role requires-
Delivering on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge
Creating functional strategies and specific objectives for the data science function and developing policies/procedures to support the functional infrastructure
Lead strong partnerships with Quickplay’s Engineering and Product teams
Inspiring and leading your team to deliver data and strategic data science approaches that help optimize and guide Quickplay’s product decisions
Help set technical strategy, represent data science and, initiate and debate key strategic topics and opportunities from your team’s work, and drive bold high-impact decisions
Grow and expand your team with an eye toward diverse and forward-pushing skills that span machine learning methods, data engineering, tooling, data products, and analytics
About you-
Applied experience with machine learning on large datasets
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills
You have experience building and leading an expert data practice at a software platform company, and/or analytics teams
Your technical background is broad, spanning multiple areas among data products and visualization, data and behavioral analytics, advanced metrics, statistics, machine learning, causal methods, and data architecture. You likely have a graduate degree or studies in a quantitative field such as Economics, Analytics, Mathematics, Computer Science, Statistics, Machine Learning, etc..
You are skilled at having an impact in complex or ambiguous problem spaces that cannot be empirically proven and require blending data and scientific methods with judgment-based approaches
You have exceptional oral and written communication skills and are articulate with both technical and business partners. You create effective frameworks to aid the discussion of complicated topics.
You are a self-starter, with an ability to work with some ambiguity and comfort working cross functionally; but ultimately comfortable working towards initiatives in an autonomous capacity.
Experience with statistical software (e.g., R, Python, MATLAB, Pandas), SQL and cloud-based data warehousing technologies such as BigQuery/Snowflake; strong organizational skills and strong attention to detail
ACKNOWLEDGEMENT AND CONSENT
I understand that this application is not an offer of employment and that by accepting my application, (the “Company”) does not guarantee that I will be offered a job. I also understand that if I am offered a job, the Company has the right to make changes to the terms and conditions of my employment, with or without notice, as the Company deems necessary and appropriate. I understand that any future employment is not for a guaranteed period of time and that continued employment is based on the consent of the Company and me and that both the Company and I have the freedom to terminate the employment relationship in accordance with the terms set forth in any offer of employment and applicable law.
I hereby authorize inquiries seeking information and/or verification concerning my educational and employment history and/or criminal background and/or credit and hereby release from all liability, damage, and/or responsibility all persons, schools, corporations, governmental agencies, or other organizations furnishing information and/or documents regarding my personal information, and, for the purpose of processing this employment application, authorize release of such information and/or documents, including law enforcement records.
I certify that all statements made by me on this application, as well in any employment interviews, are true and complete to the best of my knowledge and that I have withheld nothing relevant to the questions asked in this Application. Moreover, I understand that any false statement, pertinent omission, or misrepresentation of fact may result in refusal of employment or immediate dismissal if employed. My submission of the application indicates that I have read and understood this acknowledgment and consent.
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