Data Science Team Lead
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About N.Rich
N.Rich is the Account-Based Go-to-Market Platform best suited for fast-growing mid-market and enterprise companies. 👋🏻 We’ve been recognized in the 2023 Gartner®️ Magic Quadrant™️ for Account-Based Marketing Platforms report, and we’re the only provider headquartered in Europe.
Customers use N.Rich to reach their revenue goals by discovering and engaging with enterprise buyers over long sales cycles. N.Rich combines intent data, predictive analytics, and strong advertising capabilities with an easy-to-use platform.
N.Rich is well-positioned for hypergrowth during the next few years following the surge of demand in intent data, account-based marketing, and transformative go-to-market strategies, so it’s a perfect time for joining our team.
About the Role
We are looking for a Data Science Team Lead who will help drive innovative research and development for our data science initiatives. The ideal candidate will help lead data science research based on the product and other department needs, guide and mentor a team of data scientists, and contribute as an individual contributor within a cross-functional delivery team. You will be responsible for managing the data science function and supporting the growth and success of our product offerings through data-driven insights.
About the Team
You will be joining a small DS team, currently made up of 2 data scientists. This is a small, close-knit team working as part of a cross-functional team, together with Product and Engineering, to deliver data science solutions that directly impact the business. The team culture values strong communication, mutual support, and shared learning. We encourage ongoing growth through research and problem-solving discussions.
What You’ll Be Doing
- Leading data science research efforts based on the product’s and other departments' needs.
- Participating in a cross-functional delivery team as an individual contributor to solve business problems.
- Overseeing and mentoring the data science team, including managing people and technology, ensuring alignment with strategic objectives.
- Working with stakeholders to translate business needs into actionable data science projects.
- Continuously enhancing and optimizing models, frameworks, and tools for ongoing data science initiatives.
Recent examples of tasks that the team was working on:
- Analyze whether company's behaviour on third-party websites provides meaningful signals for future sales outcomes.
- Develop metrics to evaluate and improve alignment between sales and marketing teams.
- Explore external APIs (e.g., LinkedIn, HubSpot) to extract signals of company engagement that can enrich account insights and targeting.
Qualifications
Must-Haves:
- Senior DS experience, including 5+ years of relevant experience.
- Experience in leading teams for 2+ years.
- Strong knowledge of classic machine learning methods (e.g., feature selection/engineering, linear/logistic regression, decision trees).
- Proficiency in Python, SQL (PostgreSQL, ClickHouse), Docker.
- Experience with statistical methods and methodologies for A/B testing.
- Strong experience with data visualization tools (e.g., matplotlib, seaborn).
- Knowledge of NLP methods and related frameworks (e.g., nltk, spaCy, Hugging Face transformers, OpenAI API).
- Experience in delivering production-level systems, understanding performance, scalability and security aspects.
- Strong management skills, including planning, prioritization, and task execution.
- Ability to translate business requirements into data science solutions and communicate effectively with both technical and non-technical teams.
Nice-to-Haves:
- Experience with boosting techniques (e.g., XGBoost) and ensemble methods.
- Familiarity with LLM fine-tuning methods (e.g., PEFT, SFT, RL, DDP, FSDP).
- Experience with LLM optimization tools (e.g., Flash-attention, vLLM, quantization methods).
- Experience in B2B marketing, specifically Real-time Bidding Optimisation and Marketing Attribution Modelling
Soft Skills:
- Fluency in English and Russian
- Strong leadership and team management abilities.
- Excellent presentation and communication skills.
- Ability to work collaboratively and independently to drive results.
What’s in for You?
We offer a flexible remote working environment that helps maintain a healthy work-life balance.
You’ll be joining a leading European ABM platform and playing an important role in shaping the future of data science and the ABM industry.
We prefer a contracting model of collaboration.
- Locations
- Helsinki
- Remote status
- Fully Remote

Colleagues
Helsinki
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