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Senior Data Scientist

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

5+ years as a Data Scientist, Strong proficiency in Python, Experience with advanced NLP models, Familiarity with cloud platforms, Deep understanding of data science.

Key responsabilities:

  • Design, build, and improve machine learning models
  • Identify and resolve data quality issues
  • Leverage cloud platforms for model development
  • Propose and implement technical solutions
  • Collaborate and mentor team members
Flinks logo
Flinks Financial Services Scaleup https://flinks.com/

Job description

About Flinks 🚀

At Flinks, we’re not just building data infrastructure; we’re shaping the future of finance. Our mission is to empower consumers with control over their financial data and unlock its full potential. We equip fintechs and banks with cutting-edge data tools, enabling them to create innovative, client-centric products that are transforming the financial industry.

Flinks is trusted by hundreds of companies and connects over 250 million financial accounts. Our products power digital finance, helping businesses streamline their processes, improve user experiences, and drive the next wave of financial innovation. We are the engine behind the future of digital finance, committed to creating open, consent-based exchanges of financial data.

About the Team 💻

As a Senior Data Scientist, you’ll be working within a high-impact, collaborative team that leverages machine learning to unlock insights from vast financial datasets. You will play a critical role in leading projects that shape the future of finance by helping our clients make smarter decisions and deliver more effective services. Our work doesn’t stop at building models; we’re revolutionizing the financial ecosystem itself.

What You’ll Do 🔥

  • Own the Model Lifecycle: Design, build, deploy, and continuously improve sophisticated machine learning models, minimizing drift and maximizing accuracy across use cases.
  • Become a Data Detective: Proactively dive deep into massive datasets, identify data quality issues, and resolve them to ensure models perform optimally.
  • Innovate with the Cloud: Leverage cloud platforms to build, train, and scale advanced models, utilizing our ML Platform to develop cutting-edge solutions.
  • Shape our Technical Strategy: Propose and implement forward-thinking technical solutions, pushing the boundaries of what's possible in financial data science.
  • Collaborate and Mentor: Work closely with talented engineering and product teams to integrate your models into production, while mentoring team members to share knowledge and foster growth.
  • Contribute to R&D:  Be a key contributor to groundbreaking research and development, exploring the latest advancements in machine learning and applying them to financial data products.

Who You Are 💪

  • You have a deep understanding of data science and can leverage that knowledge to propose innovative ideas, enhance existing solutions, and shape the future of finance in Canada and globally.
  • 5+ years of experience as an established and confident Data Scientist.
  • Not afraid to experiment and explore new techniques and solutions.
  • A strong proficiency in Python for data science.
  • Hands-on experience with advanced NLP models (e.g., Transformers, BERT).
  • Familiarity with cloud platforms and their application to scalable data science solutions.
  • Strong communication skills, with the ability to influence and drive change.

What’s in it for you?

  • Clear Impact: Your work will directly influence the development of innovative financial products, helping businesses and consumers alike harness the power of financial data.
  • Empowered Autonomy: As a Senior Data Scientist, you’ll have the freedom and support to shape technical strategies, drive innovation, and lead critical projects that push the boundaries of data science.
  • Trailblazing at the Right Time: You’ll be joining Flinks at a pivotal moment, where open banking and financial data innovation are accelerating, giving you the chance to make an impact in a rapidly evolving industry.
  • Personal Growth: Work with brilliant, passionate colleagues on complex technical and business challenges, driving both your personal and professional development to new heights.

The Interview Process 🏗

  • People Ops Generalist
  • Team Lead
  • Case Assignment
  • Panel Interview & Case Presentation

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Mentorship
  • Collaboration
  • Analytical Thinking

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