- Collaborate with the product and engineering teams to build data products supporting audience insights and monetization.
- Proficiency in deriving meaningful business insights from data and pinpointing the underlying causes of patterns.
- Take charge of, devise, and execute advanced data analysis, predictive analytics, develop mathematical methodologies, and create intricate algorithms to address business challenges.
- Work hands-on to use large datasets and build, train and test machine learning models.
- Implement a variety of ML models based on a philosophy that the data product should solve business needs.
- Leverage generative AI to create tools that help customers more efficiently tap into their datasets to drive audience value.
- Scope projects, assess potential risks and communicate clearly with the stakeholders.
The successful candidate will have:
- 7+ years’ experience working in a data product/analyst capacity.
- Proven track record of successfully leading data and analytics teams and driving innovation.
- Experience applying machine learning to real business problems.
- Experience leading exploration and visualization of data with leading tools.
- Proficiency in Python/R, NumPy, Plotly, TensorFlow, Sci-Kit Learn, Keras.
- Experience in SQL, Scripting.
- Familiarity with using a Unix operating system.
- Familiarity of at least one of: AWS, Google Cloud or Azure Cloud infrastructures.
- Experience with natural language processing, sentiment analysis.
- Strong communication and interpersonal skills.
- Ability to share/collaborate with peers; experience with working in an agile team is a plus.
- Prior experience in media.
Additional desired qualifications (but not required):
- Significant sell-side experience, either working at a publisher/media company or at a vendor supporting the sell-side.
- An advanced degree (MS or Ph.D.) in Computer Science, Mathematics, Physics or related fields.
- Deep expertise in Ad Tech and MarTech, with a history of building data products in this domain.
- Experience in building Generative AI solutions.
- Familiarity with the AWS/GCP Suite of ML/AI tools.
- Familiarity with data privacy regulations and best practices in data handling and storage.
ArcSpan offers an attractive compensation package including: competitive base salary, annual bonus, equity and additional health insurance, time off, 401k, flexible working environment and other benefits.
This is a hybrid position – partially remote and partially working out of our HQ in New York City. Candidates must be within daily commuting distance of NYC or willing to relocate.
ArcSpan Technologies is an Equal Opportunity Employer. Applicant information will be kept confidential according to EEO guidelines. Candidates must be legally authorized to work in the United States.
Direct candidate applications only. Absolutely no employment nor outsource agency submissions please.
