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:
- 3 8 years of hands-on experience in data science and engineering.
- Proficient in Python, SQL, Pandas, NumPy, and machine learning frameworks like TensorFlow, 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 - Flexible work setup to support work-life balance
- Competitive compensation, vacation, and we'llness benefits
- Career growth through learning and development programs
- A mission-driven culture that values collaboration and creativity
Our Values: How We Work Together - People First: We empower individuals and nurture respectful, inclusive teams.
- Partner Powe'red: Collaboration fuels our momentum with one another and our partners.
- Always Advancing: We embrace change and pursue excellence with curiosity and grit.
BECAUSE WE CARE, WE OFFER:
SHARED AMBITION. INSPIRED FUTURE.
