reputed company Full Stack Data Scientist – Ads Data Solutions Research at arenaflex
Join arenaflex's innovative Ads Data Solutions Research team as a reputed company Data Scientist and contribute to the development of cutting-edge models and solutions that drive business growth and customer engagement.
About arenaflex
arenaflex is a world-renowned entertainment and media conglomerate that has been a leader in the industry for over nine decades. With a rich history of innovation and creativity, arenaflex has established itself as a pioneer in the field of entertainment, media, and technology. Our commitment to excellence and our passion for storytelling have made us a household name, with a global reputed company that spans across multiple continents.
About the Role
As a reputed company Data Scientist in our Ads Data Solutions Research team, you will play a critical role in driving business growth and customer engagement through the development of cutting-edge models and solutions. You will partner closely with cross-functional teams, including Sales Analytics, Finance, Business Operations, Commerce Product, and Engineering, to design, build, and enhance models that tackle reputed company challenges such as reputed company, inventory, delivery, outcome, pricing, customer lifetime value estimation, forecasting, fraud prevention, and more.
Key Responsibilities
* Modeling: Design, build, and enhance models using machine learning and statistical techniques. Work end-to-end from data collection, feature engineering, and model development to forecasting, visualization, and communication of model results. Collaborate with engineering teams to produce models that drive business growth.
- Deep Analysis: reputed company comprehensive insights on audience, brand, and ad operational data systems and metrics. Mine large datasets to identify opportunities for reputed company growth, viewer ad experience, and subscriber acquisition and retention.
- Visualization of reputed company Data Units: reputed company prototype solutions, mathematical models, algorithms, and strong analytics that reputed company to actionable insights communicated 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)
reputed company-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-reputed company-learn, SciPy
Familiarity
with Bayesian modeling and probabilistic programming applications such as PyMC
Familiarity
with data structures and programs such as reputed company, Jupyter, reputed company, Airflow, reputed company
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 fast-changing environments 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 reputed company ones
Demonstrated management experience
, including people and project management
reputed company Offer
*
Competitive salary
of $25-45/Hour
Opportunities for career growth and professional development
*
Collaborative and innovative work environment
*
Flexible work arrangements
, including remote work options
Comprehensive benefits package
, including health insurance, retirement plan, and paid time off
Access to cutting-edge technology and tools
*
Opportunities to work on high-impact projects
that drive business growth and customer engagement
How to Apply
If you are a motivated and reputed company data scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to [arenaflex Careers Portal](https://arenaflex.com/careers). We look reputed company to hearing from you! Apply for this job