Senior Data Scientist

Sorry, this job was removed at 03:43 p.m. (EST) on Wednesday, Jun 12, 2024
Remote
84K-137K Annually
5-7 Years Experience
AdTech • Agency • Digital Media • Machine Learning • Marketing Tech • Analytics • Big Data Analytics
We’re not your average media agency
The Role

JuiceMedia.AI is the newest brand to our portfolio and here's the squeeze. Juice is an emerging outcome focused, omni-channel customer acquisition platform. We are a team built of our media traders, data scientists, engineers, product experts and growth marketers helping customers connect to their target audiences with a multi-solution product.
We are headquartered in Los Angeles and we are continuing to grow our team. If you are interested in joining an organization with a start-up mentality, but the scale of a large enterprise- Juice is for you!
Job Summary
Juice Media a multi channel advertising firm and growth consultancy that uses a holistic approach to create profitable go to market campaigns - at scale. We provide clients with vertically integrated, unbundled solutions across their acquisition marketing needs, from strategy & planning to execution and optimization & modeling/forecasting. Our clients represent best of breed brands across a diverse range of verticals and geographies.
The Senior Data Scientist develops models, statistical analyses, and machine learning algorithms to predict marketing outcomes (e.g. sales and revenue) and understands the impact of advertising investments across multiple channels for companies in various industries. The Senior Data Scientist will be responsible for data prep, model development, model deployment, and maintenance to ensure quality and accuracy. Will provide analytical support to drive business insights for marketing and advertising campaigns. This position requires strong analytical skills in understanding and applying machine learning and optimization techniques as well as the experience in developing in-production data science applications.
Responsibilities

  • Develop innovative modeling approaches for better understanding of the consumer response and the impact of advertising across multiple channels.
  • Apply state-of-the-art optimization algorithms to guide efficient media budget allocation.
  • Partner with a consulting team to generate actionable recommendations to help clients make data-driven marketing decisions.
  • Collaborate with Data Engineering in productionizing and deploying data science applications.
  • Document technical details of work to improve collaboration with other team members.
  • Guide and mentor junior data scientists in best practice regarding methodology.
  • Keep pace of development in marketing research and continuously drive best practices in the development environment.
    #LI-LP1


Qualifications

  • Master's degree or above in statistics, mathematics, economics or another quantitative field
  • 5+ years professional work experience (preferably in ad tech) in data science, statistical analysis, and model development
  • Deep understanding of Time Series, numerical optimization, and machine learning algorithms and experienced in applying them in real life problems
  • Experience in applying advanced Bayesian modeling techniques is a plus
  • Proficiency in querying databases (SQL) and leveraging programming languages (Python etc.) to analyze complex datasets
  • Familiarity with end-to-end data science workflow and various model deployment methods
  • Working knowledge in relational databases and Amazon Web Services: Redshift, S3, Athena, etc.
  • Demonstrated problem solving and analytical reasoning skills
  • Excellent interpersonal, verbal, and written communication skills
  • Experience in marketing analytics and advertising is a plus


We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law.
The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law.
Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details.
Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in California is $83,538.00 - $137,241.00 / year. For other locations, please inquire with your recruiter. The rates/ranges provided herein are the anticipated pay at the time of hire, and do not reflect future job opportunity.
Nearest Major Market: Columbus

The Company
Long Island City, NY
50 Employees
Hybrid Workplace

What We Do

JuiceMedia.ai is a data driven omnichannel advertising and technology performance media group that combines proprietary technology, strategy, and activation to drive outcome-oriented solutions for advertisers. We are committed to delivering our clients and partners the most return (aka “juice”) for every media dollar spent across all ad channels and platforms. We do this through Adtech Development, Strategy & Analytics and Media Activation. Started in Los Angeles JuiceMedia.ai is the brainchild of the team who created TwoNil. Over the last 10 years our team has been a trusted growth partner to brands such as Dollar Shave Club, Bombas, 23andMe and a preferred white-labeled media and measurement solution to a number of agencies.

Gallery

Gallery
Gallery
Gallery
Gallery

JuiceMedia.AI Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
Long Island City, NY

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account