Your Growth
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance / high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have :
- Continuous learning : Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters : From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community : With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits : On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse / partner, and children.
Your Impact
As a data scientist at QuantumBlack, you will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
Work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problemsDevelop data science products and solutions for clients as well as for our data science teamWrite highly optimized code to advance our internal Data Science ToolboxWork in a multi-disciplinary environment with specialists in machine learning, engineering and designFocus on modelling by working alongside the Data Engineering teamAdd real-world impact to your academic expertise, as you are encouraged to write papers and present at meetings and conferences should you wishTake part in R&D ( video : R&D at QuantumBlack); attend conferences such as NIPS and ICML as well as data science retrospectives where you will have the opportunity to share and learn from your co-workersWork in one of the most advanced data science teams globallyWhat you’ll learn
How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelinesBuild products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situationsBest practices in software development and productionize machine learning by working with our Machine Learning Engineering teams which optimize code for model development and scale itWork with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualizationsUsing new technologies and problem-solving skills in a multicultural and creative environmentYou will work on the frameworks and libraries that our teams of data scientists and data engineers use to progress from data to impact. Watch our Protocols series video tutorial . You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
Real-World Impact – No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally.Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programs at all levels.Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.Striving for Diversity – With colleagues from over 40 nationalities, we recognize the benefits of working with people from all walks of life... check out our Women Transforming Tech highlights reel and our Kedro playlistYour colleagues
Work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects, using math, stats and machine learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
Our Tech Stack
While we advocate for using the right tech for the right task, we often leverage the following technologies : Python, PySpark, TensorFlow, PyTorch, SQL, Airflow, Databricks, our own OSS called Kedro (check out a Kedro tutorial video here ), container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!
Your qualifications and skills
Undergraduate degree in math, statistics, physics, computer science or engineering requiredUp to 2 years of professional experience in programming; experience applied to business problems is a plusProgramming (focus on machine learning) : Python (must), R (highly valued), SPSS, SAS, Ruby, Hadoop (valued)Data treatment / data mining, e.g. SQL, AWK, Access, Spark, Excel (highly valued)Statistical knowledge is a plusDemonstrated aptitude for analyticsProven record of leadership in a work setting and / or through extracurricular activitiesAbility to work collaboratively in a team environmentAbility to work effectively with people at all levels in an organizationSkills to communicate complex ideas effectivelyAbility to communicate complex ideas effectively – both verbally and in writing – in English and SpanishKnowledge of other languages, e.g. Portuguese, German, French and / or Italian is a plusJ-18808-Ljbffr