Cox Enterprises · 1 week ago
Sr. Data Scientist
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Responsibilities
Perform data mining and analysis to uncover trends and correlations that support operational and strategic decisions for customers and stakeholders
Collaborate with customers and colleagues across analytics and engineering to extract meaning and interpretation from data sets within an assigned area of responsibility
Develop and leverage expertise across Cox data sources, applications, and operational functions to connect business processes to data-driven insights
Identify and apply 3rd party/external data sources to analytical projects
Engage with key stakeholders to translate business requirements into data science products and solutions
Develop clear and easily understood data visualizations to facilitate communication and understanding for customers and stakeholders
Share analysis and project updates with senior team members and management
Manage end-to-end data science projects, including project planning, data collection, model development, and deployment
Bring innovative ideas and best practices to enhance the overall capabilities of the data science team
Create data science assets and automations using a combination of tools and languages including SQL, Python, R, Alteryx, Tableau, Microsoft Azure (Fabric, ML Studio, ADF, Synapse, PowerBI, etc...)
Stay updated with the latest technologies and methodologies in data science
Qualification
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Required
Bachelor's degree in a related discipline and 4 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16 years' experience in a related field
Requires strong knowledge of SQL, Tableau, PowerBI, cloud analytics environments (e.g. Azure, AWS)
Excellent problem solving, critical thinking, interpersonal, leadership, presentation, and collaboration skills to work effectively with teams throughout organization
Preferred
Masters degree with focus on analytics, statistics, applied mathematics, economics, or quantitative sciences
Experience in data analysis, statistical modeling, and machine learning or AI
Experience building, deploying, or managing solutions that leverage LLMs is a plus
Experience working in agile delivery methodology preferred
Effective communication skills with the ability to convey complex findings to both technical and non-technical audiences
Ability and capacity for self-direction as well as the ability to work within various project teams including agile methodologies and waterfall
Ability to adapt to changing assignments, multiple priorities, and work effectively within project teams
Experience utilizing a variety of data/analytic software/languages/tools; e.g. Spark (ML, Mllib, Spark SQL), R (dplyr, caret, ggplot2), Python (pandas, numpy, scipy, scikit-learn), Scala, Java, C++, Hive, SQL, Tableau, Microsoft Fabric, ML Studio, PowerBI, Alteryx, etc
Benefits
Health care insurance (medical, dental, vision)
Retirement planning (401(k))
Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)
Company
Cox Enterprises
Cox Enterprises ~ a Division of SatoshiPay, LLC
H1B Sponsorship
Cox Enterprises has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (2)
2022 (8)
2021 (1)
2020 (3)
Funding
Current Stage
Late StageTotal Funding
$1.7M2014-12-15Grant· $1.7M
Leadership Team
Recent News
2024-05-08
2024-04-24
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