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Lead Data Scientist

C

Cox Enterprises

Atlanta, GA, US

4 days ago
full-time
degree mentioned

Job highlights

Qualification

The candidate should have a combination of excellent analytic skill, strong business acumen, and excellent interpersonal and communication skills. Bachelor’s degree in a related discipline and 6 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 4 years’ experience; a Ph.D. and 1 year of experience; or 18 years’ experience in a related field. Requires strong knowledge of programming skills and ability to utilize a variety of data, analytic software, languages/tools; esp SQL and Tableau, but additional examples include Python, PySpark, PowerBI, etc. Excellent communication and presentations skills. The ability to successfully comprehend and communicate advanced analytics artifacts, business insights, and resulting implications to non-technical business partners skills to work effectively with teams throughout organization. Excellent math and logical skills. Ability to identify trends, analyze data, and extract actionable insights. Strong data analysis skills including working with large data sets and understanding how to identify good data quality. Strong Strong business acumen and problem-solving skills

Responsibility

The Data Scientist will influence the business and marketing decisions of Cox Communications by supporting and helping to institutionalize a data-driven analysis culture. Your primary role will be to identify and work on high-impact business and marketing problems and develop viable solutions through data analysis, statistics, and advanced analytics techniques. The Data Scientist will have a highly visible role with key leaders and will work closely with teams across the company including other Analytics team members, Marketing, Product, and Business Operations. Identifies actionable insights, provides recommendations, and influences the direction of the business through analysis of large data sets. Operates large data volumes from various data sources. Transforms data into actionable insights using Adobe Analytics, Tableau, and ETL tools such as Apache Airflow and dbt. Creates interactive Tableau dashboards, reports, charts, presentations, and timelines in support of department or business operations. Translates analytical findings into insights and business recommendations. Develops effective responses to requests for ad hoc analyses using standard and advanced analytics techniques. Collaborates with an Agile Scrum team to implement projects, complete tasks, and fulfill plans to ensure timely and efficient analysis, modeling, evaluation, and reporting. Creates and manages plans for accomplishing detailed analytic activities with quick turnaround. Develops creative and innovative analytical problem-solving approaches. Prepares written analysis findings and recommendations to key marketing leaders with direct impact on executive-level decisions. Collaborates with an Agile Scrum team to complete projects end-to-end (intake and acceptance criteria, data discovery, analysis, presentation or delivery). Manages complex relationships with boundary partners in Marketing & Sales to deliver collaborative results

Job Description

Description

Cox Communications is looking for a Lead Data Scientist to join our Digital Analytics team (part of a rapidly growing Digital Marketing and Sales organization), who is incredibly passionate about data, has a proven track record of transforming raw data into analytic insight, and desires to make a difference by leveraging the right techniques to arrive at the right answers. The Data Scientist will influence the business and marketing decisions of Cox Communications by supporting and helping to institutionalize a data-driven analysis culture. Your primary role will be to identify and work on high-impact business and marketing problems and develop viable solutions through data analysis, statistics, and advanced analytics techniques. The candidate should have a combination of excellent analytic skill, strong business acumen, and excellent interpersonal and communication skills. The Data Scientist will have a highly visible role with key leaders and will work closely with teams across the company including other Analytics team members, Marketing, Product, and Business Operations. Responsibilities: • Identifies actionable insights, provides recommendations, and influences the direction of the business through analysis of large data sets • Operates large data volumes from various data sources. Comfortable with using SQL to query and transform data. Transforms data into actionable insights using Adobe Analytics, Tableau, and ETL tools such as Apache Airflow and dbt. • Creates interactive Tableau dashboards, reports, charts, presentations, and timelines in support of department or business operations. Translates analytical findings into insights and business recommendations • Develops effective responses to requests for ad hoc analyses using standard and advanced analytics techniques • Collaborates with an Agile Scrum team to implement projects, complete tasks, and fulfill plans to ensure timely and efficient analysis, modeling, evaluation, and reporting • Creates and manages plans for accomplishing detailed analytic activities with quick turnaround • Develops creative and innovative analytical problem-solving approaches • Prepares written analysis findings and recommendations to key marketing leaders with direct impact on executive-level decisions • Collaborates with an Agile Scrum team to complete projects end-to-end (intake and acceptance criteria, data discovery, analysis, presentation or delivery) • Manages complex relationships with boundary partners in Marketing & Sales to deliver collaborative results Minimum Qualifications: • Bachelor’s degree in a related discipline and 6 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 4 years’ experience; a Ph.D. and 1 year of experience; or 18 years’ experience in a related field • Requires strong knowledge of programming skills and ability to utilize a variety of data, analytic software, languages/tools; esp SQL and Tableau, but additional examples include Python, PySpark, PowerBI, etc • Excellent communication and presentations skills. The ability to successfully comprehend and communicate advanced analytics artifacts, business insights, and resulting implications to non-technical business partners skills to work effectively with teams throughout organization • Excellent math and logical skills. Ability to identify trends, analyze data, and extract actionable insights • Strong data analysis skills including working with large data sets and understanding how to identify good data quality • Strong Strong business acumen and problem-solving skills Preferred: • Experience in the telecommunications industry or other subscription-based business • Experience in Marketing & Sales • Degree in related discipline strongly desired • Strong expertise in AWS, Apache Airflow, and/or dbt • Practical experience building data transformations or analytics applications in AWS • Experience with Adobe Analytics • Tableau and/or AWS certification