Data Scientist, Applied ML Engineer

Summary

Join Influ2, a B2B advertising company, as a Data Scientist/Applied ML Engineer to contribute to our R&D team. This role involves bridging hands-on ML experimentation and R&D exploration, playing a key part in discovering and validating new ideas. You will be responsible for understanding product opportunities, leading research initiatives, prototyping solutions using various techniques, integrating and evaluating models, working with open-source ML tools, operating independently, and collaborating cross-functionally. The ideal candidate possesses 2+ years of experience in applied ML or data science roles, solid Python skills, experience designing and running experiments, and experience applying ML to real business use cases. Influ2 offers a flexible working environment, unlimited vacation, generous parental leave, and a comprehensive health package.

Requirements

• You bring 2+ years of experience in applied ML or data science roles
• You have solid Python skills and experience working with libraries like pandas, scikit-learn, and matplotlib (Keras is a plus)
• You’re confident designing and running experiments to test hypotheses, validate results, and automate processes at scale
• You have hands-on experience applying ML to real business use cases
• Good knowledge of statistics, modeling, and machine learning fundamentals
• Experience working with MySQL or other relational databases (SELECT-level queries)
• You're comfortable with ambiguity and can scope problems with minimal direction
• You communicate analytical findings and solution ideas clearly across teams
• Proactive mindset, strong problem-solving skills, and natural curiosity
• English: Upper-Intermediate or higher
• Upper-intermediate English is essential
• Time management: You know how to optimize task prioritization and meet project deadlines efficiently while maintaining excellent quality of your work in a remote setting
• Problem-solving skills and attention to detail: You have a keen eye for identifying issues and resolving them with precision. Your ability to think critically and thoroughly ensures that no detail is overlooked, leading to effective solutions and high-quality results
• Continuous learning mindset: To excel in this role, it's vital to demonstrate a readiness to acquire and adjust to emerging technologies, industry shifts, and evolving customer requirements
• Ability to work independently as well as in a team environment: You excel at managing tasks on your own while also contributing effectively in team settings
• Initiative: You demonstrate a proactive mindset by identifying opportunities to improve data quality, optimize models, and suggest solutions to enhance analysis workflows or experimentation processes

Responsibilities

• Understand product opportunities: Gain a deep understanding of product goals and user needs to identify where data-driven solutions can deliver the most value
• Lead research initiatives end-to-end: define hypotheses, design experiments, analyze results, and propose scalable solutions
• Prototype solutions: Apply techniques like classification, clustering, similarity modeling, topic detection, and LLM-based methods
• Integrate and evaluate models: Prototype ML-driven solutions tailored to real-world business needs and assess the performance of LLM models for practical integration
• Work hands-on with tools: Use open-source ML tools and locally deployed models to test and iterate on ideas quickly
• Operate independently: Take initiative and operate autonomously in a fast-paced, experimental environment
• Collaborate cross-functionally: Communicate findings and proposed solutions clearly across R&D, Product, and Development teams

Benefits

• Flexible working environment when it comes to your schedule and location preference. We don't have fixed working hours. Choose where and when you work
• Unlimited Vacation policy to ensure a healthy work-life balance
• Generous Parental Leave and other well-structured PTO policies
• A well-rounded health package offering comprehensive medical coverage to support you