Experienced Lead Data Scientist – Ads Data Solutions Research at arenaflex
Unlock the Power of Data-Driven Insights and Shape the Future of arenaflex
Join arenaflex's innovative Ads Data Solution Research team as a Lead Data Scientist and be part of a dynamic group that empowers decision-makers with actionable insights, predictions, and visualizations. As a key member of our team, you will collaborate closely with cross-functional business partners to develop and enhance models that tackle complex challenges, drive revenue growth, and optimize marketing strategies.
About arenaflex
arenaflex is a leading entertainment and media conglomerate that has been a pioneer in the industry for decades. With a rich history of innovation and creativity, arenaflex continues to push the boundaries of storytelling, entertainment, and technology. Our commitment to excellence and customer satisfaction has earned us a reputation as a trusted partner in the industry.
Job Summary
We are seeking an experienced Lead Data Scientist to join our Ads Data Solution Research team. As a Lead Data Scientist, you will be responsible for designing, building, and enhancing data models that drive business growth, optimize marketing strategies, and improve customer experience. You will work closely with our Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering teams to develop and implement data-driven solutions that meet the evolving needs of our business.
Key Responsibilities
* Modeling: Design, build, and enhance data models to drive business growth, optimize marketing strategies, and improve customer experience. Work collaboratively with engineering teams to produce high-quality models that meet business requirements.
- Deep Analysis: Develop in-depth analysis of audience, brand, and ad operational data systems and metrics. Mine large datasets to identify opportunities for revenue growth, viewer ad experience, and subscriber acquisition and retention.
- Visualization of Complex Data: Develop prototype solutions, mathematical models, algorithms, and strong analytics to communicate actionable insights clearly and visually.
- Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to enhance platform capabilities around data modeling, data visualization, experimentation, and data architecture.
What You'll Bring
*
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 knowledge solutions
7+ years of experience
with statistical programming languages (e.g., Python, Spark, PySpark) and database languages (e.g., SQL)
Nice-to-Haves
*
Doctorate's degree
in a quantitative field
Excellent analytical skills
, superior level of data knowledge
Strong knowledge
with Python and libraries such as sci-kit-learn, SciPy
Familiarity
with Bayesian modeling and probabilistic programming applications such as PyMC
Familiarity
with data structures and programs such as Databricks, Jupyter, Snowflake, Airflow, Github
Familiarity
with data exploration and data visualization tools such as Tableau, Looker
Familiarity
with designing and reading A/B testing and other test types
Demonstrated skills
in choosing the right statistical tools given a data analysis problem
Ability to adapt quickly
in a fast-changing environment with shifting priorities
Strong communication skills
, both technical and non-technical audiences
Ability to manage multiple tasks
simultaneously and in a timely manner, including large and complex ones
Demonstrated management experience
, including people and project management
What We Offer
*
Competitive salary
range of $25-45/hour
Opportunities for career growth
and professional development
Collaborative and dynamic work environment
*
Flexible work arrangements
, including remote work options
Comprehensive benefits package
, including health, dental, and vision insurance
Retirement savings plan
with company match
Paid time off
and holidays
Professional development opportunities
, including training and conference attendance
How to Apply
If you are a motivated and experienced data scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
Note:
arenaflex is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and diverse work environment that values and respects the contributions of all employees. Apply for this job