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Data Scientist

June 17, 2026

Traackr is a global SaaS technology company providing a data-driven influencer marketing platform that marketers use to optimize investments, streamline campaigns, and scale programs. Our customers range from some of the world’s largest companies in the beauty and personal care space to digitally native indie brands, which have all made influencer management and engagement a critical practice of their marketing and advertising programs. We are a remote-first company, and for the folks that like to meet in person, we have offices in San Francisco, New York, Boston, Paris, and London. We operate on a culture of mutual respect, with core value pillars including: Trust. We earn the trust of our team, customers, creators, and partners through transparency, predictability, and integrity. Diversity. Bringing diverse perspectives to the table results in stronger outcomes. All are welcome.Value. Through our words and actions, we strive to create tangible value for our customers and peers. We only succeed when our community succeeds. Ownership. We lead with action. We take pride in solving the hardest challenges and feel accountable for our commitments. Mutual success. We share goals with each other and with our clients. Alignment, collaboration, and empathy are the cornerstones of our success. This position is 100% remote, with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager. Data is a crucial part of Traackr’s cutting-edge SaaS influencer marketing platform. We collect, organize and interpret terabytes of data about brands and influencers. Our solutions help our brands build and maintain their influencer portfolios, understand how their campaigns affect the information landscape, and optimize their influencer marketing spend. As a Senior Data Scientist, you will help push Traackr’s product and business forward by turning ambiguous customer problems into measurable outcomes. You’ll partner closely with Product and Engineering to design experiments, develop and evaluate ML, AI, Statistics, and recommendation capabilities (from classic ML models, to LLM-powered automations, to large scale search capabilities). As a Data Scientist at Traackr you will establish reliable practices for evaluation, monitoring, and continuous iteration. You’ll also raise the bar across teams by coaching others on experimentation and AI evaluation best practices. This position is 100% remote, with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager. Responsibilities<div> <ul> <li> Partner with Product and Engineering to identify high-impact opportunities, frame ambiguous problems, define success metrics, and choose pragmatic approaches (heuristics, statistics, ML, or GenAI). </li> <li> Lead rigorous experimentation across teams: hypothesis design, metric/guardrail definition, power analysis, A/B testing (or quasi-experiments), and clear readouts that drive decisions. </li> <li> Build and iterate on ML/AI capabilities that ship to production (e.g., classification, information extraction, ranking/recommendations, and GenAI components such as RAG or developing the agent harnesses for our core agentic journeys), optimizing for value-added, latency, and cost. </li> <li> Establish best-in-class evaluation practices for both ML and LLM features: golden datasets, offline/online evaluation plans, regression suites, and monitoring that catches quality drift early. </li> <li> Enable engineers to build safely and effectively with AI by coaching on prompt patterns, tool/function calling, structured outputs, guardrails, and debugging/evaluation workflows. </li> <li> Design and support agentic workflows where they add real product value, with clear constraints, observability, and fallbacks. </li> <li> Support the end-to-end lifecycle of deployed models and AI systems: data requirements, training/fine-tuning where relevant, validation, deployment, monitoring, incident response, and continuous improvement. </li> <li> Raise org-wide leverage by creating reusable assets (evaluation harnesses, shared datasets, templates, documentation) and running enablement workshops. </li> <li> Communicate insights and tradeoffs clearly to technical and non-technical stakeholders, turning analyses into decisions and measurable impact. </li> <li> Champion responsible, privacy-aware AI: appropriate data handling, bias/fairness considerations where applicable, and human-in-the-loop workflows when needed. </li> </ul> </div> Core Qualifications<div> <ul> <li> 3+ years (or equivalent) delivering data science work that shipped to production and/or materially influenced product direction </li> <li> Experience collaborating cross-functionally and communicating clearly with diverse stakeholders; ability to influence without authority </li> <li> Strong Python and SQL skills, with the ability to write maintainable, production-quality code (testing, reviews, documentation) </li> <li> Demonstrated mentorship/enablement—helping other engineers and teams adopt best practices and ship faster with higher quality </li> </ul> </div> At least 3 of<div> <ul> <li> Strong applied statistics and experimentation skills (A/B testing, causal thinking, metric design, interpretation under uncertainty) </li> <li> Proven ability to evaluate and improve models in real conditions: dataset design, error analysis, offline metrics, online measurement, monitoring, and iteration </li> <li> Hands-on experience building with LLMs in product contexts, including some of: RAG/grounding, tool/function calling, structured outputs, prompt iteration, quality/cost/latency tradeoffs </li> <li> Practical approach to LLM evaluation: golden sets, regression testing, human review loops, and monitoring for quality drift </li> <li> Experience with modern MLOps/LLMOps practices (experiment tracking, ETL pipelines, versioning, CI/CD for ML, observability) </li> <li> NLP and information extraction/classification on noisy social/content data </li> <li> Experience developing and evaluating large scale Retrieval, Recommendation- and Search Systems. </li> </ul> </div> Strong plus<div> <ul> <li> Experience with large scale data and analytics platforms </li> <li> Experience with Spark or other distributed computing </li> <li> Experience with data lake technologies such as Databricks or equivalent </li> <li> Experience with cloud providers such as AWS or equivalent </li> </ul> </div> <div>$75,000 - $85,000 a year</div> Benefits• Competitive Salary• Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend• Coworking Office Subscription for Collaborative Spaces• Health, Dental, and Life Insurance Coverage*• Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs• Paid Parental Leave to Support Quality Time with Your Loved Ones• Career Development, including Internal and External Training Opportunities Traackr employs individuals in multiple US states and countries. We use market benchmark data and geographic zones to determine our salary ranges. Your zone's specific pay range is dependent on your home location. We encourage you to discuss your zone-specific pay range with your Traackr recruiter for more details. Benefit programs vary by country/state of residency, are subject to eligibility requirements, and may be modified from time to time. Ask for more details about the benefits in your specific region. Traackr is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics. All your information will be kept confidential in accordance with EEO guidelines. Unsolicited resumesTraackr does not accept unsolicited resumes/CVs from headhunters or recruiting agencies sent directly to Traackr employees or through our website. Traackr will not pay any fees to any third-party agency or company unless there is a signed agreement with Traackr. Privacy Traackr, Inc. has published a Privacy Notice, including CCAP for California and GDPR policies for its UK and European Union subsidiaries, accessible at https://www.traackr.com/privacy-policy. All questions, comments, and requests regarding data processing at Traackr should be addressed to HR@traackr.com.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...

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