Data Scientist- Remote
Cincinnati, Walnut Street
The E.W. Scripps Company
This position is pivotal in blending the analytical rigor of a data scientist with the strategic acumen of a business leader.
Scripps offers a remote work option for this position
WHAT YOU'LL DO:
- Proactively identify key questions vital to our business success, employing robust analytical techniques to turn data into actionable knowledge. This role requires a keen ability to dissect complex problems, form comprehensive conclusions, and deliver well-founded recommendations.
- Utilize advanced statistical analysis and data mining skills to develop insights that drive innovation and competitive differentiation. Mastery of relevant tools and methodologies to perform data manipulation and visualization is essential.
- Act as a catalyst for change by partnering with the analytics team, product directors, and business leaders. Your insights will inform strategic decisions that enhance operational efficiency, profitability, and market position.
- Clearly and persuasively communicate findings and recommendations both visually and in writing to stakeholders at all levels. Collaborate effectively with cross-functional teams to implement data-driven strategies and measure their impact.
- Guide the company in adopting new analytical techniques and insights, ensuring that our data strategy aligns with and supports our broader business objectives.
As a Data Scientist focused on product development, you will be instrumental in shaping our data-driven products through the following activities
- Build and maintain end-to-end machine learning pipelines, encompassing time series forecasting and ETL processes. Utilize various APIs to efficiently extract data and integrate these elements into our product offerings.
- Perform in-depth analysis of large datasets to extract actionable insights that influence product features and business strategies. Focus on leveraging data for high-impact decisions and creating features that enhance our data products.
- Implement processes to ensure data integrity and quality across all stages of data collection and processing.
- Develop processes to monitor data quality, ensuring that it remains accurate and readily available for stakeholders.
- Create automation processes that streamline tasks, particularly for teams that generate revenue, thereby reducing time spent on non-revenue activities.
- Design and implement dynamic reporting dashboards that track key performance indicators, providing stakeholders with actionable insights to drive business decisions.
- Serve as a trusted advisor by using your findings to influence the strategic direction of the business. Communicate insights effectively to cross-functional teams to support informed decision-making.
- Contribute to the development and refinement of product roadmaps by providing data-driven insights and analyses.
- Advocate for the power of analytics within the organization and beyond. Lead training sessions and create communications to promote the benefits of data-driven decision making and cultivate a culture oriented towards analytics as a core business competency.
- Act as a publicly visible figure within the company, driving accountability and showcasing the value of analytics through various forums and interactions.
WHAT YOU’LL NEED:
- A Master’s Degree in a related discipline or a BS/BA with equivalent professional experience. Preferred Majors: Computer Science, Data Science, Statistics, Mathematics, or Economics
- At least 3 years of experience in applying quantitative methods to solve complex analytical problems. Related fields and experience will also be considered
WHAT YOU'LL BRING
- Exceptional ability to analyze complex data problems and develop innovative solutions, capable of working autonomously as well as in collaborative settings
- Proficient with popular machine learning frameworks such as TensorFlow and PyTorch, and libraries like scikit-learn and pandas to drive insightful data analysis
- Strong command of SQL, Python, and R for data manipulation and statistical analysis
- Knowledgeable in using leading data platforms, including Databricks and Azure Data Factory, to integrate and manage data effectively
- Experienced with cloud services from providers like Azure and AWS, leveraging their capabilities for scalable data solutions
- Skilled in database management and query optimization with platforms such as Snowflake, MySQL, and MSSQL
- Proficiency in Tableau for creating impactful visual representations of complex datasets
#LI-SM2
If you are a current Scripps employee, please do not apply on this site. Please access our internal career site at Worklife > My Info > View Open Positions at Scripps.SCRIPPS' COMMITMENT TO EQUITY, DIVERSITY AND INCLUSION:
At Scripps, we are committed to a diverse and inclusive culture that reflects the communities we serve. We are intentional about creating an environment where employees, our audiences and other stakeholders feel valued and inspired to reach their full potential and make authentic connections. We foster a workplace culture that embraces each person’s diversity, including the extent to which they are similar or different. Scripps leaders believe that an equitable and inclusive culture is not only the right thing to do, it is a business imperative. Read more about our commitment to equity, diversity and inclusion at scripps.com.
ABOUT SCRIPPS:
The E.W. Scripps Company (NASDAQ: SSP) is a diversified media company focused on creating a better-informed world. As one of the nation’s largest local TV broadcasters, Scripps serves communities with quality, objective local journalism and operates a portfolio of more than 60 stations in 40+ markets. Scripps reaches households across the U.S. with national news outlets Scripps News and Court TV and popular entertainment brands ION, Bounce, Defy TV, Grit, ION Mystery and Laff. Scripps is the nation’s largest holder of broadcast spectrum. Scripps is the longtime steward of the Scripps National Spelling Bee. Founded in 1878, Scripps’ long-time motto is: “Give light and the people will find their own way.”
As an equal employment opportunity employer, The E.W. Scripps Company and its affiliates do not discriminate in its employment decisions on the basis of race, sex, sexual orientation, transgender status, gender, color, religion, age, genetic information, medical condition, disability, marital status, citizenship or national origin, and military membership or veteran status, or on any other basis which would be in violation of any applicable federal, state or local law. Furthermore, the company will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in an undue hardship for the company.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Computer Science Data analysis Databricks Data Mining Data quality Data strategy Economics ETL Machine Learning Mathematics MS SQL MySQL Pandas Pipelines Python PyTorch R Scikit-learn Snowflake SQL Statistics Tableau TensorFlow
Perks/benefits: Career development
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