Data Science Manager
Job Summary:
At AnthologyAI, we believe that behind every data point is a story of hundreds of decisions made by real people. These stories are the pulse of every sector in the global economy, shaping our present and future. Our mission is to democratize access to these stories in the data economy. We are the most efficient, accurate, and actionable source of consumer intelligence. We ethically capture and analyze consumer behaviors 24/7 via our app, Caden, without compromising privacy or security.
We have set out to pioneer a breakthrough platform that combines billions of unbiased first-party consumer data with advanced predictive AI models. It will empower businesses across industries—from retail to banking— regardless of their internal data capabilities, to predict market dynamics and consumer behaviors with unparalleled precision.
We’re led by industry veterans, backed by powerhouse investors (almost $25M total investment), and powered by an extremely talented, experienced and diverse team.
This position will report to the VP of Data & Technology and will be an integral part of the Data & AI organization. You will be responsible for leading a team of data scientists, data engineers and machine learning engineers to bring our AI and Data Science vision to life. Your expertise will drive the development and enhancement of our products/services that will generate business value to our business, clients and our users.
What You'll Do
- Manage a team of data scientists, data engineers and machine learning engineers.
- Participate in strategic planning and be responsible for the team roadmap and its execution.
- Regularly present ideas and solutions to executive leadership as well as external stakeholders.
- Lead the development of ML and AI products that address clients business challenges and needs.
- Stay updated with the latest research and advancements in machine learning and AI to identify opportunities to apply them to enhance our products/services.
- Combine traditional ML methods with latest AI advancements and our Knowledge Graph (Ontology) that is central to our platform and AI capabilities.
- Design and implement innovative machine learning algorithms that solve complex problems and provide actionable insights.
- Apply advanced statistical and ML techniques to analyze large and complex data sets, extracting meaningful patterns and to enrich the quality and coverage of our data.
- Ensure proper DataOps and MLOps practices are implemented so that data pipelines are efficient, reliable, and optimized for machine learning tasks.
- Develop and maintain a deep understanding of industry trends, emerging technologies, and best practices in machine learning and data science.
- Communicate technical findings and insights to both technical and non-technical stakeholders in a clear and effective manner.
- Collaborate with cross-functional teams to integrate machine learning models into production systems and monitor their performance.
- Ensure compliance with data privacy and security regulations in all data science and machine learning initiatives.
Required Experience:
- Master's or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
- Proven experience (5+ years) in designing, developing, and deploying machine learning models in a real-world setting.
- 3+ years of direct people management experience, including growing a technical team and recruiting (and retaining) talent.
- Solid understanding of ML and AI foundations - Supervised/Unsupervised learning methods, deep learning architectures, Natural Language Processing (NLP), etc.
- Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills, with the ability to present complex technical concepts to both technical and non-technical audiences.
- Strong programming skills in Python or similar languages commonly used in data science and machine learning.
- Proficiency in SQL and working with large and complex datasets.
- Expertise in machine learning frameworks and libraries (Tensor, Pytorch, sci-kit, Keras, etc.) and their practical applications.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and DevOps practices for deploying machine learning models.
- Strong problem-solving skills and a track record of developing innovative solutions to complex technical challenges.
Preferred Experience:
- Experience with data visualization tools and techniques to communicate insights effectively.
- Experience in AI-based SaaS products
- Experience in client-facing role
- Experience implementing GPT-based solutions for B2B applications
Why AnthologyAI?
- Join a high-growth startup that is at the forefront of innovation!
- We hire, value, and retain high EQ and low ego talent: you carry an executive presence with growth mindset, regardless of years of experience.
- Opportunity to make a significant impact on the company's strategic and growth trajectory.
- Collaborative and inclusive work environment that encourages innovation and growth.
- Competitive compensation package that includes equity.
- Health & Commuter Benefits.
- Flexible PTO.
- Hybrid work arrangements.
- In-office work perks such as a plethora of snacks & drinks, pet-friendly environment and more!
This role will work (hybrid) 3 days a week onsite out of our SoHo office.
The salary range for this position is $190,000- $220,000 per year based on candidate qualifications.
** There is currently no relocation and/or visa (immigration) assistance provided for this position.
What the Team is Saying
What We Do
At AnthologyAI, we've rearchitected efficient consumer data acquisition by putting the user in the middle of the process. Via our app Caden, we allow users to be in control of their personal data, and if they explicitly choose to, they can monetize it by sharing their anonymous data with us. It's a simple value proposition on top of immensely complex technology—the only way for us to ensure security, privacy and accuracy.
The result is, the single most efficient, accurate and actionable source of consumer intelligence ever built. We have our finger on the pulse of global consumerism, 24 hours per day, without PII, identity resolution or any other privacy-invading techniques.
The AI models we've trained our tens of billions of ethically-sourced datapoints on have a complete understanding of consumer behavior. We can predict inflation as easily as we can predict how many people will walk across a certain street corner in Manhattan in six months. We can model likelihood of churn as easily as we can probabilities that a certain film or TV show will do well.
We believe explicit consent is now the name of the game, with terms happening above the board and dark patterns being snuffed out. Ethically sourced first-party data has become the most valuable asset on the internet, hampering personalization, addressability, measurement, activation, and analysis for anyone who doesn't have it.
We've changed the consumer intelligence game by leading with trust, ethics and intelligence, wrapped in bleeding-edge technology.
Why Work With Us
AnthologyAI is on a mission to solve a 25-year-old problem. With all the changes happening in the digital world, from privacy laws to the demise of third-party cookies and the end of tracking on iPhones, we're in the midst of a digital revolution. Working here is more than just a job - it's an opportunity to be part of something bigger.
Gallery
AnthologyAI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
First and foremost, here at Anthology we value the benefits of in-person work. As a team, we spend 3 days a week on-site in our beautiful new space in Soho, NYC. While the office is open for those who wish, Mondays & Fridays we typically work remote.
