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For Companies At a Glance
- Tasks: Transform business questions into statistical problems and build impactful machine learning models.
- Company: Join QuantCo, a data-driven company founded by PhDs from Harvard and Stanford.
- Benefits: Enjoy a competitive salary, bonuses, stock options, and relocation support.
- Why this job: Work with a smart team on challenging problems that impact millions and drive significant business decisions.
- Qualifications: Degree in relevant fields and experience with Python, R, and statistical concepts required.
- Other info: Business proficiency in German is necessary; bonus skills in SQL and cloud infrastructure are a plus.
The predicted salary is between 28800 - 42000 £ per year.
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
- In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and a proven interest in causal inference questions, e.g., A/B tests
- Experience in coding and working with data (from a previous research or industry internship or extensive course projects) using a wide range of tools and languages: Python (Pandas, XGBoost/LightGBM), R (dplyr, ggplot2), and git
- Ability to see solutions and opportunities that others do not see
- High level of commitment and reliability, good balance of pragmatism and perfectionism
- Business proficiency in German
Bonus if skilled in any of the following tools and/or languages:
- SQL
- Tensorflow
- Keras
- Cloud infrastructure
- Docker
- Lower-level languages like C#/C++/C
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.
QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Data Scientist employer: QuantCo, Inc.
Contact Detail:
QuantCo, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your experience with machine learning techniques and causal inference questions. Highlight any relevant projects or internships where you applied these skills, as this will demonstrate your practical knowledge and interest in the field.
✨Tip Number 2
Familiarize yourself with the specific tools and languages mentioned in the job description, especially Python and R. If you have experience with SQL, TensorFlow, or Docker, be ready to discuss how you've used these in past projects.
✨Tip Number 3
Since business proficiency in German is required, practice discussing technical concepts in German. This will not only help you communicate effectively during the interview but also show your commitment to integrating into the team.
✨Tip Number 4
Prepare to discuss how you approach problem-solving and decision-making. QuantCo values a balance of pragmatism and perfectionism, so think of examples that illustrate your ability to find solutions that others might overlook.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of a Data Scientist at QuantCo. Familiarize yourself with the tools and techniques mentioned in the job description, such as Python, R, and machine learning concepts.
Tailor Your CV: Customize your CV to highlight relevant experiences that align with the job description. Emphasize your quantitative abilities, coding experience, and any projects or internships that showcase your skills in data analysis and machine learning.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for the role. Discuss your passion for data science, your understanding of causal inference, and how your background aligns with QuantCo's mission and values.
Showcase Your Projects: If you have worked on relevant projects, especially those involving A/B testing or machine learning, be sure to include them in your application. Provide links to your GitHub or any other platforms where your work can be viewed.
How to prepare for a job interview at QuantCo, Inc.
✨Understand the Business Context
Before your interview, make sure you understand how data science can impact business decisions. Be prepared to discuss how you would translate a business question into a statistical problem and provide examples from your past experiences.
✨Showcase Your Technical Skills
Be ready to demonstrate your coding abilities in Python or R. Prepare to discuss specific projects where you utilized libraries like Pandas, XGBoost, or ggplot2. Highlight any experience with machine learning models and how you integrated them into business processes.
✨Communicate Clearly
QuantCo values clear communication of complex results. Practice explaining your analyses and findings in a way that is understandable to non-technical stakeholders. Use visualizations to support your explanations.
✨Demonstrate Team Collaboration
As a team player, be prepared to share examples of how you've successfully collaborated with others on data-driven projects. Discuss how you balance pragmatism and perfectionism while working in a team setting.
