Data Science, Dataiku
Operational Research Internship, 6 Months From January/February
Collaborative data science platform
Be an early applicant
Collaborative data science platform
1001+ employees
Be an early applicant
1001+ employees
Company mission
To enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more.
Role
Who you are
- Currently pursuing a Master’s degree in Operations Research, Machine Learning, Computer Science, Mathematics, or a related field
- Exposure to optimization techniques such as linear, mixed-integer, or non-linear programming
- Proficiency in Python and experience with optimization libraries (e.g., Gurobi, CPLEX, or similar tools)
- Curiosity, strong problem-solving skills, and a willingness to explore new techniques for solving complex business problems, such as supply chain optimization, network flow, demand forecasting, and resource allocation, all within the Dataiku platform
- Strong written and verbal communication skills
- Fluent English and French
What the job involves
- This is a golden age for business AI applications, thanks to a frantic rate of scientific research, a culture of openness with many scientific publications, models, and software libraries freely available, and increasing results directed towards concrete, practical tasks
- At Dataiku, we help our customers leverage cutting-edge mathematical and AI techniques to solve complex problems at scale
- In this context, the internship will study advanced optimization techniques, implement them in a realistic business scenario, and create technical assets (such as a blog post and a sample project) to help Dataiku users leverage these techniques for concrete use cases
- Study recent advancements in operations research, focusing on techniques such as linear programming, mixed-integer programming, stochastic optimization, or network flows
- Implement optimization models in Python to solve a realistic use case that can be generalized across industries
- Create a public demo and technical blog post to showcase how optimization models can be applied in Dataiku
- Present your work to internal teams, including data scientists and solution engineers, to support customer-facing teams with new insights
- If the opportunity arises, contribute to a proof-of-concept project with a Dataiku customer to apply the developed optimization techniques in a real-world setting
Our take
Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.
Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.
In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.
Steph
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
39% female employees
9% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $845.7m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ A policy, unique to each team, that clarifies the status of each Dataiker based on preferred working styles: Office, Flex, SuperFlex, and Remote ➔ A work from anywhere policy that allows employees to work from their place of choice up to four weeks per year
- Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
- Building and supporting our community is at the heart of our values. Weʼve developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
- Oppurtunities to grow: ➔ Attend weekly universities with internal and external speakers ➔ Grow their expertise with our dedicated sales, tech, and management enablement programs
- ➔ Weʼre one team, all shareholders. We offer equity to all employees
- ➔ Onsite meals and healthy snacks
- ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
- ➔ We regularly organise office happy hours in offices and virtual
Company values
- Diversity of People and Perspective - We mix people and perspectives to shape the future of data and AI in a responsible way
- Tolerance & Open-Mindedness - We embrace differences and new ideas and fight against racism and bias
- Accountable Camaraderie - We think, act, and celebrate as a team, trusting and supporting each other regardless of function
- Work-Life Balance - We respect each person’s way of finding balance, providing flexibility and counting progress, not hours
- Dedication To Learning - We geek out with new technologies, learn from others everyday, and grow ourselves by helping others grow
- Conscious Long-Term Responsibility - We strive to maximize our positive impact on the world - through our products and beyond, for today and tomorrow.
Company HQ
Flatiron District, New York, NY
Articles
Leadership
Clément Stenac
(CTO)Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.
Florian Douetteau
(CEO)Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
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Diversity, Equity & Inclusion at Dataiku
Laurie du Boullay (Head of Culture)
- Building AI that benefits everyone starts with diversity and inclusion in the office. We believe that a blend of experiences and perspectives creates the best performing teams and enables us to build software shaping the future of data & AI in a way which is fair and diverse, for people and the planet.
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