Data Scientist

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Remote
175K-250K Annually
7+ Years Experience
eCommerce • Information Technology • Marketing Tech • Social Media • Software
The Role

CreatorIQ has earned the title of best company to work for in multiple programs including BuiltIn LA and NY, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and was recognized by G2 as a Leader, Best Customer Relationship, G2 Top 100 Fastest-Growing Products and rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles.


Be a Part of Our Dynamic Team and Transform the Industry Together!


Data Scientist

CreatorIQ is seeking a Principal Data Scientist to lead the development of exciting machine learning projects surrounding creator media. You’ll leverage CreatorIQ’s vast and unique influencer marketing datasets to solve complex problems, and will directionally influence our ML roadmap (and, resulting, the larger influencer marketing industry).


As the Principal Data Scientist, you will work directly with the VP of Innovation and our Head of Creator Intelligence, Social APIs and Data Engineering. The ideal candidate has a strong background in data science and a proven track record of machine learning results.

In this role, you’ll get to:

  • Development: Lead the development, optimization, and productionalization of foundational machine learning projects and algorithms
  • Ideation: Work directly with dataOps and core platform teams to understand modeling opportunities across existing datasets, and bring technical depth to concept ideation
  • Data engineering: Work with large datastores to stage and process large volumes of influencer marketing-related data. Design, build, and support new pipelines of data transformation, conversion, and validation, especially in ways useful to modeling
  • Client collaboration: As a member of Innovations team, interface with enterprise clients to understand problems that the design, development, deployment of ML-backed proof of concepts can address
  • Communication: Communicate findings and results to both technical and non-technical stakeholders through clear and concise reports and presentations
  • Internal development: Contribute to the development and maintenance of data science best practices, standards, and tools within the organization

Who you are and what you’ll need for this position:

  • 8+ years experience working with large datasets and datastores, conducting large-scale quantitative analyses
  • 8+ years of experience in machine learning engineering, with a proven track record of developing and deploying successful ML projects
  • Deep understanding and practical experience in building and optimizing ‘people data’ machine learning models (esp. knowledge graphs)
  • Conceptual familiarity with social media data and ad tech concepts
  • Proficiency in data analysis using tools such as Python, R, or similar languages
  • Expertise working with large datasets, datastores (especially AWS), and data processing technologies (Hadoop, Spark, Pig/Hive)
  • Strong experience with AWS services (including SageMaker) for model training, deployment, and management
  • Expert SQL scripting required
  • Preferred: Proficiency in TensorFlow, PyTorch, or similar ML frameworks and libraries
  • Strong communication skills, with the ability to engage effectively with both technical and non-technical stakeholders
  • Degree (preferred Master's or Ph.D.) in a relevant field such as Data Science, Machine Learning, Statistics, Computer Science, or a related discipline

What you will get from us:

  • People: work with talented, collaborative, and friendly people who love what they do. 
  • Guidance: utilize our learning platform, Easyllama, to get the training and tools you’ll need to become successful here from your first day with us.
  • Surprise meal stipends: work from home can’t stop the enjoyment of someone else making a meal for you!
  • Work/Life Harmony: 15 day’s vacation, floating and set holidays, wellness allowance, and paid parental leave.
  • Whole Health Package: medical, dental, vision, life, disability insurance, and more. 
  • Savings: a 401k (USA) plan to help you plan ahead.
  • Work From Home Stipend: to assist you in setting up a home office that works for you (or buy a new dog leash - your choice!).

Compensation, Benefits and Beyond:

We understand that a comprehensive benefits package plays a significant role in your overall compensation. To gain more insight into the various components of our total compensation, we invite you to review our benefits and perks.


Who we are:

CreatorIQ is the most trusted influencer marketing platform for organizations looking to advance their creator marketing. Its enterprise-grade technology and industry-leading intelligence facilitate faster and safer creator discovery, unify complex workflows, and power robust reporting, while ensuring compliance and brand safety. Thousands of the world’s most innovative brands and agencies use CreatorIQ, including Logitech, Movers+Shakers, Nestlé, RQ, Sephora, Unilever and more. CreatorIQ is a global company headquartered in Los Angeles with offices in San Francisco, London, and Ukraine.


At CreatorIQ, we believe that diversity is the key to unlocking our full potential. We are committed to fostering an inclusive, equitable, and empowering work environment where everyone can thrive, regardless of race, ethnicity, gender, sexual orientation, age, religion, disability, or any other characteristic that makes us unique. By embracing our core values of being client-focused, putting team members first, leading with empathy, ensuring a no jerks policy, and staying focused on what's important, we create an atmosphere that promotes collaboration and growth. Join us to celebrate differences, innovate together, and be a part of a business that is disrupting the marketing industry.

The Company
San Francisco, CA
251 Employees
Hybrid Workplace
Year Founded: 2014

CreatorIQ Offices

Hybrid Workspace

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

Typical time on-site: Not Specified
San Francisco, CA

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