Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.
Data Scientists at QuantCo will learn what it takes to create impact from data: identifying the right framework to translate a business question into a statistical problem; locating and combining data sources as well as transforming large datasets; running in-depth analyses; building machine learning models that automate large-scale decisions and integrating them into live business processes; and interpreting, visualizing, and communicating results to internal and external stakeholders.
We are looking for team players who have excellent quantitative abilities and:
- A degree in economics, statistics, mathematics, computer science, engineering, physics, or similar fields at a leading university
- In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and an interest in causal inference
- Experience in coding and working with data (from a previous research or industry internship or extensive course projects)
- Ability to see solutions and opportunities that others do not see
- High level of commitment and reliability, good balance of pragmatism and perfectionism
Bonus if skilled in any of the following tools and/or languages:
- SQL
- Tensorflow
- Git
- Cloud infrastructure
What we offer
You will be part of a smart, motivated, and driven team that revels in working on challenging problems and finding novel solutions; values our customers and users; and strives to deliver thoughtful and impactful products. You will be surrounded by people that respect each other and the contributions each of us brings. We offer a generous compensation package that includes a base salary, bonus, stock options, and relocation support along with additional location-based benefits.
About QuantCo
At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.
Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.
We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.
Similar Jobs
Artificial Intelligence • Healthtech
Drive R&D operations analytics by implementing and automating medical device product development KPIs, ensuring data integrity, partnering with product and process SMEs to build scalable data-driven solutions, and applying advanced AI/ML techniques from concept through automation and integration.
Top Skills:
Agentic AiAzure Devops (Ado)Core MlDeep LearningGenerative AiJama ConnectJIRASnowflake
Healthtech • Biotech
Implement and automate R&D product development KPIs, develop data-driven solutions, ensure R&D data integrity, analyze multi-source data to generate actionable insights, partner with product and tech teams, and lead automation and integration of scalable AI/ML solutions for medical device product development.
Top Skills:
AdoAgentic AiAzure DevopsCore MlDeep LearningGenaiJama ConnectJIRASnowflake
Artificial Intelligence • Information Technology • Machine Learning • Software • Analytics
Build customer and marketing analytics solutions: segment customers using clustering, engineer customer-level features, apply explainable AI (SHAP), develop targeting/propensity/churn models, align analyses with Marketing/BI, present insights to stakeholders, and write reusable, well-documented code collaborating with Data Engineering.
Top Skills:
AWSAzureDaskDatabricksGCPGenerative AiGitLlmMicrosoft FabricMlopsPower BIPysparkPythonRShapSparkSQLTableau
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.
