Job Description

Description: Client Media & Entertainment Distribution is seeking a Principal Data Science Engineer - Analytics Operations to join our Data & Decision Science organization. The Principal Data Science Engineer's primary role is to focus on serving our Data Science and CRM teams data needs to enable them to move the business forward. The Principal Data Science Engineer is also expected to develop a rich understanding of the data needs and new data opportunities that better equip our Data Science teams to deliver business changing insights to Client Media & Entertainment Distribution and Client General Entertainment. The ideal candidate will have strong experience in working with product & engineering teams, identity management, modern data & data science infrastructure, large structured & unstructured datasets, common statistical techniques used for analyzing large data sources, and an understanding of contract negotiation & data privacy regulations. Responsibilities Provide technical mentorship, and support of team members and engineering partners. Participate in and lead engineering and data science sprint ceremonies Deliver new datasets and quantitative capabilities through product, engineering, and governance to enable the Data Science teams to more effectively and efficiently create new, different, and impactful data driven insights for the business to leverage as a strategic business asset and driver of incremental revenue opportunities across media (ABC, Freeform, DCWW, FX, NatGeo, and ESPN), Film Studios, Streaming, and Ad Sales. Champion consistent and efficient coding practices with the Data Science teams that enables them to increase productivity and reliability of findings. Continuously drive toward efficiency by simplifying and automating where possible, eliminating redundancy across the organization, refining data structures, and building data views as needed to support higher team productivity. Develop effective relationships with business partners and peers across segments – including product, project, and engineering teams to better understand data initiatives and capabilities across the company Assure quality and accuracy of deliverables through thorough interaction with product managers and engineers to understand and refine requirements and adherence to privacy, governance, and quantitative standards.   Basic Qualifications         Degree in Statistics, Econometrics, Mathematics, Operations Research, Computer Science, or equivalent/related degree. 3+ years of business facing experience that includes building relationships with new business partners, project request intake, and presentations. Experience delivering executive level presentations is preferred. 6+ years of experience working with Big Data data sets, preferably consumer focused datasets such as transaction data, clickstream, ad logs, video logs, etc. 6+ years of experience with Big Data database technology (Hadoop, Snowflake, BigQuery, Redshift, etc.), SQL, programming (Spark, Python, R, etc.), and automation technologies with an aptitude to learn other technical applications quickly to compile and interpret quantitative data. Proficient knowledge and experience in understanding and addressing scalable computing problems at petabyte scale, and performing root cause analysis Experience in maintaining code repositories (GitHub, GitLab, etc) and documentation of code and data assets including metadata through infobase tools such as Confluence Experienced and comfortable in Agile work environment (Scrum, Kanban, etc) Preferred Qualifications Desired Qualifications Experience directly supporting data science team data and technical needs. Experience working with Data Governance, Privacy, and Business Legal governance Experience negotiating data contracts with 3rd party vendors. Experience working with 3rd party identity providers Experience working with marketing and response data from various media channels, including television, social media, online video, search, email, mobile, and SMS. Experience working with video stream and linear viewership data. Experience working with digital and mobile data, including online behavior tracking, video players, and apps. Required Education         Bachelors  

Company Description

Intelliswift Software, Inc. is a premier business and technology solutions company headquartered in the Silicon Valley, with offices across the United States, India and Singapore. The company has a proven track record of delivering results through its global delivery centers and flexible engagement models for over 450 brands ranging from Fortune 100 to growing companies. Intelliswift provides a variety of services including Enterprise Applications, Mobility, Big Data/BI, Staffing Services, and Cloud Solutions. Growing at an outstanding rate, Intelliswift has been recognized as the second largest private IT Company in the East Bay.