Director of Data Science
PandoLogic · New York, NY · Yesterday
On-siteEngineering$336k–$356k/yrFull-time
About the role
Collaborate with cross-functional partners in operations, finance, marketing, and engineering to understand business imperatives and scope data science projects.
Responsibilities
- Explore possibilities to solve the business imperatives by identifying data sources, creating data where needed, and applying data science techniques.
- Create data-informed business strategies and roadmaps with the VP Data, VP of Analytics, and CFO.
- Translate data needs into data product requirements, evaluate technologies, and identify opportunities to innovate and improve data science capabilities.
- Use creative problem-solving skills to analyze data and build statistical / machine learning models to help solve business problems from different perspectives.
- Work with data engineering lead to create services that can ingest and supply data to and from both internal and external sources and ensure data quality and timeliness.
- Build the data science team and lead in data scientist recruitment process.
- Guide and coach data scientists and own the deliverables of data visualization and dashboards to help the organization monitor performance, generate insights, and continuously improve user experience.
- Continuously grow the data science team’s skillsets.
- Establish playbooks to drive data product development process and consistent outcomes.
- Lead the full lifecycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring.
- Evangelize data science across the entire company; identify and make the business case for data science based use cases.
- Where needed, conduct hands-on wrangling, processing, cleansing, and verifying data from different sources used for analysis.
- Analyze data with complex relationships, hierarchical levels, and time series, such as Pandas, PySpark.
- Use and recommend a wide range of machine learning algorithms and statistical modeling, including latest LLM developments.
- Utilize data visualization and dashboard tools, such as Tableau, PowerBI and Snowflake.
Requirements
- Minimum of a Bachelor’s Degree or U.S. equivalent in Quantitative Methods, Statistics, Econometrics, or related field, plus 5 years of professional experience as a Data Scientist, Operations Research Analyst, or any occupation, job title, or position leading a data science team in a technology organization.
- Experience in implementing data science solutions by identifying relevant data sources, creating data pipelines, and applying advanced data science techniques to support business decision-making.
- Experience designing and developing machine learning models and statistical algorithms to analyze structured and unstructured data from both internal and external sources.
- Experience collaborating with cross-functional teams to gather business requirements, define technical scopes, and deliver actionable data insights.
- Experience utilizing tools and libraries including Python, SQL, Spark, PyTorch, Pandas, and PySpark to perform data wrangling, cleansing, and advanced analytics.
- Experience developing and maintaining data visualization dashboards using tools including Tableau to monitor performance and communicate insights to stakeholders.
- Experience establishing scalable data product development processes through consistent use of playbooks, code standards, and reproducible pipelines.
- Experience leading the full lifecycle of machine learning models from business problem discovery to model deployment and performance monitoring.
- Experience evangelizing data science practices across organizations, including coaching team members, supporting recruitment efforts, and promoting a data driven culture.
Qualifications
- Up to 10% domestic travel required for meetings/clients visits.
- Must reside in U.S.
- Reports to HQ in New York, NY.
Benefits
- Salary: $336,350 - $356,350 per year.
Schedule
- 100% remote.
Pay
- $336,350 - $356,350 per year.
Contact
Contact: Apply online at fanaticsinc.com/careers or email resume to: WorkWithFanatics@FanaticsInc.com. Must specify Ad Code ZCKM in subject line.