Lead Data Scientist

Résumé du poste
CDI
Paris
Salaire : Non spécifié
Télétravail fréquent
Compétences & expertises
Contenu généré
Sens des affaires
Empathie
Tensorflow
Tick
Pytorch
+5
Postuler

Swan
Swan

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Le poste

Descriptif du poste

Swan has reached a level of maturity where Artificial Intelligence can significantly enhance our product, operations, and risk management.

We are currently seeking a detail-oriented and adaptable Data Scientist to join our dynamic team and establish the A.I. practice at Swan from the ground up. In this role, you will play a pivotal part in interpreting and analyzing complex data to drive strategic decision-making and advance our innovative projects.

As part of our team, you will work on impactful projects such as developing in-house ML models and utilizing these technologies to gain deeper insights into market dynamics, optimize operations, and enhance customer experiences.

The ideal candidate will possess expertise in data manipulation, machine learning, and statistical analysis.

Key responsabilities:

  • Deliver impactful projects leveraging ML to optimize the business - such as Operation automation, Fraud detection and Compliance control optimization

  • Develop comprehensive data models and algorithms to predict, optimize, and solve various business problems.

  • Manipulate and analyze complex, high-volume data from varying sources using a range of tools and data analysis techniques.

  • Design and implement robust analytical models aimed at improving business outcomes.

  • Collaborate with cross-functional teams to build scalable and repeatable data-driven solutions that enhance product development, marketing strategies, and customer experiences.

  • Maintain an understanding of industry trends and use this knowledge to suggest, innovate, and implement new technologies.

  • Handle the processing and analysis of new data sources and experimental data, ensuring data quality and accuracy.

Our stack: SQL, Python, Snowflake, AWS, DBT

Your team:

Reporting to Romain, our VP of Data, you will join our new Data team, which includes a Data Engineer, a Data Analyst, a Data Analytics Engineer and a Product Data Analyst.

This is an exciting opportunity to become part of a dynamic and growing team, making a significant impact on the future success of Swan.


Profil recherché

You’re a great match if:

  • 5/10+ years of experience in Data Scientist, with a preference for prior involvement in the fintech industry and/or B2B SaaS environments.

  • Ideally PHD in Applied Mathematics, Statistics, Computer science Machine learning. At least master degree in those fields.

  • Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch)

  • Expertise in data mining techniques and statistical analysis tools like Python, SQL.

  • Demonstrated ability to effectively manage projects and engage with stakeholders.

  • A commitment to team spirit, transparency, and trustworthiness is important, as we value a collaborative and supportive company culture.

  • Autonomy, a “Can-do” spirit, and the ability to take initiative and ownership of your work are required.

  • Passion, curiosity, and the capacity to learn quickly are important, as we are constantly exploring new technologies and approaches to improve our work.

  • Strong problem-solving skills and business acumen

  • Our ideal teammate: Empathetic. Skilled. Frank. We love to challenge each other, and we leave our egos at the door.

It’s okay if you don’t tick all the boxes — don’t let imposter syndrome prevent you from applying! 🙌

Swan is committed to providing a caring work environment for all employees, regardless of age, sex, disability, sexual orientation, race, religion, or belief.

When it comes to recruitment, we’re interested in your work experience, skills, and overall personality. Because diversity makes the workplace stronger and is necessary for Swan’s success, we are intensifying efforts to incorporate concrete actions to help us improve in this area.

About Swan

Perks of being a Swanee:

  • ESOP packages available 😊

  • Our hybrid remote policy offers the best of both worlds: a great office setting and the flexibility to work remotely with at least 3 days each month in our Parisian office.

  • Relocation package available (If you want to settle in Paris)

  • The best health insurance: Alan 🦭

  • Swan encourages you to have fun staying fit, thanks to partnerships with Classpass & Gymlib.

  • We respect your lunch break. Mid-day free-time is sacred and our French office even provides a Swile card to cover your meal on work days. 🥪

  • Twice a year we go somewhere gorgeous (a chateau, a mountain) where we reconnect, deep-dive into big topics, and relax.

  • This isn’t a perk, it should be the rule, but diversity and inclusion are important at Swan. We’re working hard to get better every day.

Our values:

Swan’s core values guide our actions daily. Individually, they may seem obvious, but together, they form a unique culture.

Simplicity: Leonardo Da Vinci said: “simplicity is the ultimate sophistication.” If something’s convoluted or confusing, we work extra hard to break it down. - Making complex things simple is what we do.

Long Term: We always play the long game, whether it’s to support our partners in their growth journey, or make tangible commitments to climate action.

Excellence: We are a team of experts who consistently go all out to create pixel-perfect banking services and exceed our partners’ expectations— whatever it takes.

Be Human: We believe in the power of kindness and the importance of acting with integrity. But embracing our humanity extends beyond interpersonal interactions, it means caring about greater issues that affect our planet.

You can find out more about our culture.


Déroulement des entretiens

  • A 30-min video call with our Talent Acquisition Manager, to get to know you, understand your career expectations and answer your questions

  • An interview with our VP Data

  • Case study

  • An interview with the team

  • Last interview with ou Chief Product officer

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