Experienced Full Stack Data Scientist – Ads Data Solutions Research at arenaflex
Are you a highly skilled data scientist with a passion for driving business growth and innovation? Do you thrive in a fast-paced, dynamic environment where no two days are ever the same? If so, we invite you to join arenaflex's Ads Data Solutions Research team as a Lead Data Scientist. At arenaflex, we're not just a company – we're a community of innovators, thinkers, and doers who are shaping the future of entertainment, media, and technology. As a Lead Data Scientist, you'll be part of a talented team that's pushing the boundaries of what's possible with data-driven insights and modeling.
About the Role
As a Lead Data Scientist, you'll be responsible for designing, building, and enhancing data models that drive business growth and revenue. You'll work closely with cross-functional teams, including Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering, to develop and deploy models that tackle complex challenges such as revenue, inventory, delivery, outcome, pricing, and more. Your expertise will be instrumental in driving experimentation and testing to optimize model performance, and you'll collaborate with engineering teams to produce and deploy models. You'll also be responsible for developing and visualizing complex data insights, communicating results to both technical and non-technical audiences, and driving business impact through data-driven decision-making.
Key Responsibilities
* Design, build, and enhance data models to drive business growth and revenue
- Work closely with cross-functional teams to develop and deploy models that tackle complex challenges
- Develop and visualize complex data insights to inform business decisions
- Collaborate with engineering teams to produce and deploy models
- Drive experimentation and testing to optimize model performance
- Communicate results to both technical and non-technical audiences
- Develop and implement data architecture and data governance strategies
- Stay up-to-date with industry trends and emerging technologies to inform data strategy and innovation
Requirements
* Master's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)
- 7+ years of experience designing, building, and comparing realistic systems getting to know solutions
- 7+ years of experience with statistical programming languages (e.g. Python, Spark, PySpark) and database languages (e.g. SQL)
- Strong analytical skills, superior level of data knowledge
- Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders
- Ability to work in a fast-paced, dynamic environment with shifting priorities
- Strong project management skills, with the ability to manage multiple projects simultaneously
- Experience with data visualization tools (e.g. Tableau, Looker) and data exploration tools (e.g. Jupyter, Databricks)
Nice-to-Haves
* Doctorate's degree in a quantitative field
- Strong knowledge of Bayesian modeling and probabilistic programming applications (e.g. PyMC)
- Familiarity with data structures and programs (e.g. Databricks, Jupyter, Snowflake, Airflow, Github)
- Experience with A/B testing and other testing types
- Demonstrated ability to choose the right statistical tools given a data analysis problem
- Experience with data governance and data architecture
- Strong leadership skills, with the ability to manage and mentor team members
What We Offer
* Competitive salary range: $25-45/Hour
- Opportunity to work with a talented team of innovators and thinkers
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Comprehensive benefits package, including health insurance, 401(k) matching, and paid time off
- Flexible work arrangements, including remote work options
- Access to cutting-edge technology and tools
- Opportunity to work on high-impact projects that drive business growth and innovation
How to Apply
If you're a highly skilled data scientist with a passion for driving business growth and innovation, we invite you to apply for this exciting opportunity. Please submit your resume, cover letter, and a portfolio of your work to [insert contact information]. We can't wait to hear from you! Apply for this job