Who we are:

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

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

Execute data science projects from start to end.
Understand client business problems, define analytical approaches, and develop actionable solutions.
Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions.
Preprocess and analyze structured and unstructured data using statistical approach.
Build and deploy predictive models, forecasting solutions, recommendation systems.
Collaborate with engineering, product, and business teams to translate insights into outcomes.
Communicate results clearly through presentations and storytelling.

What you’ll bring

Graduate degree or higher with courses in programming, econometrics / data science
Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions.
Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities.
Excellent presentations skills and storytelling capabilities.
Self-driven with a collaborative attitude and a passion for delivering business value through data.
Strong hands-on experience in Python/R and SQL.
Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts.
Good experience with data manipulation tools in python like – Pandas, Numpy.
Must have worked with scikit learn, NLTK, Spacy, transformers.
Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines.

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).