Data Scientist / Applied ML Engineer
Description For Data Scientist / Applied ML Engineer
Influ2, a rapidly growing B2B advertising technology company that has raised $15M in Series A funding, is seeking a Data Scientist/Applied ML Engineer to join their R&D team. This role presents an exciting opportunity to work at the intersection of machine learning and business innovation, where you'll be responsible for developing and implementing data-driven solutions that enhance their B2B advertising platform.
The position offers a unique blend of research and practical application, requiring someone who can navigate from abstract problem definition to concrete solution implementation. You'll be working with cutting-edge technologies including machine learning models and LLMs, while having the freedom to explore and validate new ideas that could significantly impact the business.
The ideal candidate brings 2+ years of experience in applied ML or data science, with strong Python skills and expertise in common data science libraries. You'll need to be comfortable with both independent work and cross-functional collaboration, as you'll be interfacing with R&D, Product, and Development teams.
What makes this role particularly attractive is the combination of technical challenge and business impact. You'll be working for a company that's cash-positive, growing at 50% rate, and serves Fortune 500 clients. The company offers an excellent work environment with flexible remote work options, comprehensive benefits, and a flat organizational structure that promotes direct communication and values every team member's input.
This is an ideal opportunity for a data scientist who wants to work in a fast-paced startup environment where they can have significant impact while enjoying the stability of a well-funded, growing company. The role offers extensive learning opportunities and the chance to work with a diverse, international team spread across ten countries.
Responsibilities For Data Scientist / Applied ML Engineer
- Understand product opportunities and identify data-driven solutions
- Lead research initiatives end-to-end: define hypotheses, design experiments, analyze results
- Prototype solutions using classification, clustering, similarity modeling, topic detection, and LLM-based methods
- Integrate and evaluate ML models for business needs
- Work hands-on with open-source ML tools and locally deployed models
- Operate independently in a fast-paced environment
- Collaborate cross-functionally with R&D, Product, and Development teams
Requirements For Data Scientist / Applied ML Engineer
- 2+ years of experience in applied ML or data science roles
- Solid Python skills with experience in pandas, scikit-learn, and matplotlib
- Experience designing and running experiments
- Hands-on experience applying ML to business use cases
- Good knowledge of statistics, modeling, and machine learning fundamentals
- Experience with MySQL or other relational databases
- Upper-Intermediate or higher English proficiency
- Strong problem-solving skills and attention to detail
- Ability to work independently and in team settings
Benefits For Data Scientist / Applied ML Engineer
- Flexible working hours and location
- Unlimited Vacation policy
- Generous Parental Leave
- Comprehensive medical coverage
- Flat organization structure
- Work with a distributed team across 10 countries
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