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Job Description & How to Apply Below
Help Us Power the Future of Fintech and Healthtech
Are you energized by data challenges and driven to transform insights into action? At Alegeus, we’re unlocking the potential of data to revolutionize healthcare and financial services. As a Data Scientist, you’ll play a critical role in building scalable models, infrastructure, and solutions that shape our data-driven future.
Your Role in Driving Innovation
You’ll work closely with engineering, product, and business teams to extract insights, build intelligent systems, and operationalize data science at scale.
As a Data Scientist, you will:
- Design, build, and maintain scalable data pipelines and infrastructure for real-time and batch processing.
- Work with large structured and unstructured datasets.
- Conduct exploratory data analysis, feature engineering, and model evaluation using statistical and ML techniques.
- Collect, cleanse, and transform structured and unstructured data from diverse sources (APIs, databases, external feeds).
- Develop and deploy predictive and prescriptive models using modern ML frameworks and algorithms.
- Leverage statistical methods and machine learning to solve high-impact business problems.
- Implement model monitoring, A/B testing, and continuous improvements post-deployment.
- Collaborate with cross-functional teams to translate complex requirements into data solutions.
- Stay current with emerging ML technologies and apply them creatively and responsibly.
What You Bring to the Team
We seek forward-thinking engineers who bring analytical rigor and a passion for impact.
Abilities:
- Apply ML and data analysis techniques with a product-driven mindset.
- Effectively communicate complex ideas to technical and non-technical audiences.
- Tackle ambiguous problems with structured experimentation and thoughtful design.
- Thrive in collaborative, Agile environments and contribute to mentoring peers.
Experience:
- 5–8 years of hands-on experience in data science and engineering.
- Proficient in Python, SQL, Pandas, Num Py, and machine learning frameworks like Tensor Flow, PyTorch, or Scikit-learn.
- Deep understanding of supervised/unsupervised learning, time series modeling, and feature engineering.
- Skilled in ML algorithms such as SVMs, random forest, gradient boosting, etc.
- Experience with visualization tools like Power BI or Tableau, and working knowledge of Spark or Hadoop is a plus.
- Explore and apply advanced AI techniques, including Small Language Models (SLMs), Retrieval-Augmented Generation (RAG), Retrieval-Integrated Generation (RIG), and Model Context Protocol (MCP), to enhance model performance, accelerate insights, and build intelligent, context-aware data solutions.
Education:
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field.
Why You’ll Thrive Here
We’re committed to creating an environment where data scientists and engineers flourish:
- Flexible work setup to support work-life balance
- Competitive compensation, vacation, and wellness benefits
- Career growth through learning and development programs
- A mission-driven culture that values collaboration and creativity
Our Values:
How We Work Together
At Alegeus, our collective success is rooted in these values:
- People First:
We empower individuals and nurture respectful, inclusive teams.
- Partner Powered:
Collaboration fuels our momentum—with one another and our partners.
- Always Advancing:
We embrace change and pursue excellence with curiosity and grit.
"I truly believe that people who are well-skilled and talented can go wherever they want in this company. We want to create the best place anyone has ever worked." — Alegeus Employee
Position Requirements
10+ Years
work experience
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