adsquare GmbH
At Adsquare, our mission is driven by our core focus:
Passion – Solving complex challenges with great people, tech, and data.
Niche – Location Intelligence for Programmatic Advertisers.
Our core values are integral to everything we do:
We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
Your Mission
As the Lead Data Scientist, you will spearhead the creation and deployment of data science models and data solutions that power our applications and drive business value. You will lead a dedicated team of data scientists, and ML engineers ensuring that projects are executed on time, within budget, and aligned with Adsquare’s strategic goals. You will work closely with our data analytics engineering team to integrate advanced data science solutions into production workflows.
Reporting Structure:
What you will do
Data Science Product Ownership:
Develop, deploy, and maintain machine learning models and data science solutions using large-scale datasets (including location signals, geographical data, and audience attributes) to generate measurable business impact.
Team Leadership & Mentorship:
Lead, mentor, and manage a team of data scientists and other data professionals, fostering an environment of continuous learning, collaboration, and professional growth.
Model Development & Deployment:
Oversee the design, building, tuning, and deployment of ML models at scale using cloud technologies. Ensure robust model performance and integration into production environments.
Research & Innovation:
Drive R&D initiatives in data science and machine learning, leveraging cutting-edge techniques and modern LLM AI tools (e.g., ChatGPT, Ollama, Claude, Gemini) to enhance everyday productivity and also to develop innovative AI features such as chatbots or specialized agents based on LLMs.
Data Engineering Integration:
Take the role of tech lead in / collaborate with cross-functional teams to ensure seamless data flow and quality of ML models. Leverage data pipelines and ML Ops tools to support model development and monitoring.
Strategic Oversight:
Implement frameworks for effective data value extraction and continuously refine processes to optimize cost-efficiency and output quality. Hire and train within your team to continuously optimize your team’s performance.
Desired Background
Experience & Technical Expertise:
Proven Data Science Expertise:
Extensive hands-on experience as a data scientist with a track record of designing, building, and deploying ML models that drive business value. Strong foundational skills in the areas of linear algebra, cost functions, probability theory, inferential statistics, as well as experiment design.
Leadership:
At least 2 years of experience leading a team of data scientists, providing both strategic direction and hands-on guidance.
Machine Learning & Cloud Technologies:
Deep experience in designing, building, and tuning ML models at scale, utilizing cloud platforms and tools. Proven ability to operationalize machine learning in production environments.
Data Analysis & Modeling:
Strong background in empirical science, social science, data analysis, and data modeling. Expertise in applying statistical methods and building predictive models. Excellent in explorative data analysis, SQL.
Technical Skills: Proficiency in Python and data science libraries (pandas, numpy, scikit-learn, scipy, statsmodels, tensorflow, keras, PyTorch, langchain, streamlit, mlops) along with tools like FastAPI, streamlit, and Jupyter.
Experience with dbt is a big plus.
Familiarity with big data technologies and cloud platforms (e.g., AWS Redshift, Snowflake, BigQuery, AWS SageMaker, AWS Lambda, Amazon Athena) is required.
Experience handling large datasets (100s of GBs to many TB) across various data types (tabular, geo-spatial, behavioral).
LLM Expertise:
Demonstrated experience with modern LLM AI tools for enhancing coding and model development productivity as well as developing LLM-based features, such as chatbots, specialized expert agents.
Educational Background:
Soft Skills & Personal Attributes:
Core Values Alignment:
You must demonstrate Drive, Resilience, No BS, Being Humble, and a strong Moral Compass in your work and interactions.
Communication:
Exceptional written and verbal communication skills with the ability to translate complex technical concepts into clear, actionable insights.
Leadership & Teamwork:
Proven leadership skills with the ability to inspire and guide a team in a fast-paced, agile environment.
Problem-Solving:
A proactive, research-driven approach to solving complex challenges with creativity and precision.
Your Opportunities
Why us? On top of a competitive package…
| Veröffentlicht | vor 6 Tagen |
| Läuft ab | in 9 Tagen |
| Arbeitsmodus | Full Time |
| Quelle |
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