Elios Talent
Senior / Director Data Scientist
About Us We deliver cutting-edge software solutions by leveraging advanced trends and designs in technology. We are not a consultancy or a design agency; we are artisans in designing and developing software solutions for our clients. Our focus is on crafting state-of-the-art digital products with impeccable design coupled with robust source code engineering. Open communication is the foundation of our culture. We share ideas freely and understand that our cumulative experience and continued development nurture excellence in our software solutions. About The Role This role transcends traditional data science boundaries, combining advanced analytics, machine learning, and applied AI. You’ll work across diverse industries—including finance, oil & gas, pharmaceuticals, and beyond—delivering high-impact solutions tailored to unique business needs. As a leader, you will not only develop innovative ML/AI products but also mentor and grow the data science practice, shaping how our clients leverage AI to solve complex challenges. Key Responsibilities Advanced AI/ML Solutions : Design, implement, and deploy cutting-edge ML models, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and knowledge graph integrations. Client-Facing Innovation : Partner directly with clients to define problems, craft solutions, and integrate AI into products and workflows. Model Development & Deployment : Build, train, and operationalize ML models as APIs, ensuring performance, scalability, and seamless handoff to engineering teams. Research & Exploration : Stay ahead of emerging AI/ML trends, tools, and frameworks; bring forward innovative approaches and evaluate their business applications. Leadership & Mentorship : Hire, mentor, and develop data scientists while leading projects from strategy to execution. Act as a technical authority for AI/ML engagements. Skills & Qualifications Degree in Data Science, Statistics, Mathematics, Machine Learning, or a related quantitative field (Master’s preferred). Proven expertise in Data Science and ML with strong Python programming skills. Proficiency with Python libraries (NumPy, Pandas, PyTorch, TensorFlow) and web servers (FastAPI, Flask). Solid understanding of supervised/unsupervised learning, feature engineering, hypertuning, ensemble methods, and time series analysis. Experience with LLM prompting, fine-tuning, evaluation, and frameworks for agent-driven workflows. Knowledge of advanced AI concepts (RAG, NLP, NLU, Bayesian methods, deep learning). Skilled in data visualization (matplotlib, Plotly, Dash, etc.). Strong leadership abilities with experience mentoring teams and driving AI/ML adoption. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker). Experience collaborating in production-grade software environments and adopting AI-assisted coding tools (GitHub Copilot, Cursor, etc.). Excellent communication skills with proven ability to engage stakeholders and translate business challenges into ML/AI solutions. Why Join Us Lead the growth of a forward-thinking Data Science practice Collaborate with top-tier engineers, designers, and product leaders Shape the future of AI/ML solutions for real-world business challenges
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About Us We deliver cutting-edge software solutions by leveraging advanced trends and designs in technology. We are not a consultancy or a design agency; we are artisans in designing and developing software solutions for our clients. Our focus is on crafting state-of-the-art digital products with impeccable design coupled with robust source code engineering. Open communication is the foundation of our culture. We share ideas freely and understand that our cumulative experience and continued development nurture excellence in our software solutions. About The Role This role transcends traditional data science boundaries, combining advanced analytics, machine learning, and applied AI. You’ll work across diverse industries—including finance, oil & gas, pharmaceuticals, and beyond—delivering high-impact solutions tailored to unique business needs. As a leader, you will not only develop innovative ML/AI products but also mentor and grow the data science practice, shaping how our clients leverage AI to solve complex challenges. Key Responsibilities Advanced AI/ML Solutions : Design, implement, and deploy cutting-edge ML models, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and knowledge graph integrations. Client-Facing Innovation : Partner directly with clients to define problems, craft solutions, and integrate AI into products and workflows. Model Development & Deployment : Build, train, and operationalize ML models as APIs, ensuring performance, scalability, and seamless handoff to engineering teams. Research & Exploration : Stay ahead of emerging AI/ML trends, tools, and frameworks; bring forward innovative approaches and evaluate their business applications. Leadership & Mentorship : Hire, mentor, and develop data scientists while leading projects from strategy to execution. Act as a technical authority for AI/ML engagements. Skills & Qualifications Degree in Data Science, Statistics, Mathematics, Machine Learning, or a related quantitative field (Master’s preferred). Proven expertise in Data Science and ML with strong Python programming skills. Proficiency with Python libraries (NumPy, Pandas, PyTorch, TensorFlow) and web servers (FastAPI, Flask). Solid understanding of supervised/unsupervised learning, feature engineering, hypertuning, ensemble methods, and time series analysis. Experience with LLM prompting, fine-tuning, evaluation, and frameworks for agent-driven workflows. Knowledge of advanced AI concepts (RAG, NLP, NLU, Bayesian methods, deep learning). Skilled in data visualization (matplotlib, Plotly, Dash, etc.). Strong leadership abilities with experience mentoring teams and driving AI/ML adoption. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker). Experience collaborating in production-grade software environments and adopting AI-assisted coding tools (GitHub Copilot, Cursor, etc.). Excellent communication skills with proven ability to engage stakeholders and translate business challenges into ML/AI solutions. Why Join Us Lead the growth of a forward-thinking Data Science practice Collaborate with top-tier engineers, designers, and product leaders Shape the future of AI/ML solutions for real-world business challenges
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