Senior Data Scientist

| New York, NY, USA | Hybrid
Employer Provided Salary: 160,000-180,000 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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Senior Data Scientist 

 

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 Data Science Manager and will be an integral part of the Data & AI organization. Your expertise and daily contributions 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

  • Process, cleanse, and verify the integrity of data used for downstream analytics products
  • Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)
  • Participate in strategic planning and be responsible for the team roadmap and its execution.
  • 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.
  • 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.

 

What You’ve Done

  • 4-5+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services. 
  • Hands-on experience in delivering production-ready code (Python, Java, etc.)
  • Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)
  • AI/ML models, Natural language process (NLP) and data mining experience

 

Required Experience:

  • Degree within Computer Science, Data Engineering, Statistics, or a related field.
  • Proven experience in designing, developing, and deploying machine learning models in a real-world setting.
  • 4-5+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services.
  • Hands-on experience in delivering production-ready code (Python, Java, etc.)
  • Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake) AI/ML models, Natural language process (NLP) and data mining experience
  • Proficiency in SQL and working with large and complex datasets.
  • 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 problem-solving skills and a track record of developing innovative solutions to complex technical challenges.

 

Why AnthologyAI?

  • Join a high-growth startup that is at the forefront of innovation!
  • 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 $160,000- $180,000 per year based on candidate qualifications. 

** There is currently no relocation and/or visa (immigration) assistance provided for this position.


 

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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
  • People Operations
    • JavaLanguages
    • DockerFrameworks
    • KafkaFrameworks
    • KubernetesFrameworks
    • OAuthFrameworks
    • SpringFrameworks
    • TerraformFrameworks
    • PostgreSQLDatabases
    • SnowflakeDatabases
    • Ontotext GraphDbDatabases
    • AWS (Amazon Web Services)Services
    • GitLabServices
    • Google AnalyticsAnalytics
    • MixpanelAnalytics
    • TableauAnalytics
    • FigmaDesign
    • IllustratorDesign
    • PhotoshopDesign
    • Google DocsManagement
    • JIRAManagement
    • WebflowCMS
    • DocuSignCRM
    • HubSpotCRM
    • SlackCollaboration
    • ZoomCollaboration

What are AnthologyAI Perks + Benefits

Culture
Open door policy
Team based strategic planning
Pair programming
Open office floor plan
Hybrid work model
In-person all-hands meetings
Diversity
Highly diverse management team
Health Insurance + Wellness
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Wellness programs
Mental health benefits
Financial & Retirement
Company equity
Child Care & Parental Leave
Generous parental leave
Vacation + Time Off
Generous PTO
Paid holidays
Paid sick days
Bereavement leave benefits
Office Perks
Commuter benefits
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Pet friendly
Professional Development
Lunch and learns
Promote from within
Customized development tracks

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