Data Scientist

What makes Techjays an inspiring place to work
At Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core.
We operate as part of the 1% of companies globally that can truly leverage AI the right way — not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes.
Our strength lies in combining deep engineering with AI system design, building AI-native platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready.
Our team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced technology and AI systems for global clients.
We are looking for a strong Data Scientist who can translate complex business problems into data-driven and AI-powered solutions.
You will work across machine learning, statistical modelling, experimentation, and AI applications, taking solutions from exploration and prototyping to production.
Years of Experience -4+ years
Location - Remote / Coimbatore
Key Skills
Programming (Advanced): Python, SQL
Machine Learning (Expert): Supervised and unsupervised learning, feature engineering, model development and evaluation
Statistics (Advanced): Statistical analysis, hypothesis testing, experimentation, probability
Data Analysis (Advanced): Exploratory data analysis, data preparation, visualization, and interpretation
ML Frameworks (Proficient): Scikit-learn, Pandas, NumPy
Deep Learning (Familiar): PyTorch, TensorFlow or similar frameworks
AI/ML (Proficient): NLP, recommendation systems, classification, regression, clustering, or other applied ML use cases
Cloud & MLOps (Familiar): AWS / GCP / Azure, model deployment, CI/CD, ML pipelines
Tools: Git, Docker, Jupyter, Linux
Roles and Responsibilities
Translate business problems into data science and machine learning solutions.
Explore, clean, transform, and analyze large and complex datasets.
Develop, train, evaluate, and improve machine learning models.
Perform feature engineering and identify meaningful patterns and insights from data.
Design experiments and evaluate model performance using appropriate statistical and business metrics.
Build proof-of-concepts and take successful models towards production.
Collaborate with Data Engineers, AI Engineers, Software Engineers, and product teams to build end-to-end AI solutions.
Work with structured and unstructured data across different business domains.
Monitor model performance and identify opportunities for continuous improvement.
Document methodologies, assumptions, experiments, and model outcomes clearly.
Stay current with developments in machine learning, GenAI, and applied AI, and identify where they can create meaningful business value.
Contribute to building reusable approaches, frameworks, and best practices for data science and AI projects.
What We’re Looking For Beyond Skills
Builder mindset - you focus on solving real problems, not just building models.
Business thinking - you understand the problem behind the data and connect your work to measurable outcomes.
Ownership - you take solutions from exploration through production.
Structured thinking - you can break down ambiguous problems and form clear hypotheses.
Experimentation mindset - you are comfortable testing, learning, and iterating.
Strong communication - you can explain technical findings and model outcomes clearly to both technical and non-technical stakeholders.
Learning mindset - you stay curious about rapidly evolving AI and data technologies.
Ability to adapt - you are comfortable working in a fast-paced, evolving startup environment.
What We Offer
Competitive compensation
Flexible work environment (Remote / Coimbatore office)
Paid holidays & flexible time off
Medical insurance (Self & Family up to ₹4 Lakhs per person)
Opportunity to work on production-grade AI and data science solutions
Exposure to global clients and high-impact projects
A culture that values clarity, integrity, and continuous growth

Work arrangement
No