Data Science Lead

What we offer

Interact with C-level at our clients on regular basis to drive their business towards impactful change

Lead your team in creating new business solutions

Seize opportunities at the client and at Metyis in our entrepreneurial environment

Become part of a fast growing international and diverse team

What you will do

Lead and manage the delivery of complex data science projects, ensuring quality and timelines.

Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions.

Design solution architectures and guide the technical approach across projects.

Align technical deliverables with business goals, ensuring data products create measurable business value.

Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences.

Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle.

Collaborate with cross functional teams to ensure smooth integration and deployment of solutions.

Drive experimentation and innovation in AI / ML techniques, including newer fields - Generative AI.

What you’ll bring

6+ years of experience in delivering full-lifecycle data science projects.

Proven ability to lead cross-functional teams and manage client interactions independently.

Strong business understanding with the ability to connect data science outputs to strategic business outcomes.

Experience with stakeholder management, translating business questions into data science solutions.

Track record of mentoring junior team members and creating a collaborative learning environment.

Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability.

Experience managing project roadmaps, resourcing, and client communication.

• Tools & Technologies :

o Strong hands-on experience in Python / R and SQL.

o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.

o Experience with data visualization tools in python like – Seaborn, Plotly.

o Good understanding of Git concepts.

o Good experience with data manipulation tools in python like Pandas and Numpy.

o Must have worked with scikit learn, NLTK, Spacy, transformers.

o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations.

o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications.

o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.

o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.

o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM.

o Exposure to tools like – Mlflow, model deployment, API integration, and CI / CD pipelines.

o Hands on experience with MLOps and model governance best practices in production environments.

o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions.

Good to have :

Generative AI Experience with text and Image data.

Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.

Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.