Technologies-expected : Python R Databricks AI ML Ml Ops Pandas scikit-learn about-project : Our client is seeking a Senior/Lead Data Science to join their team and have a real impact on product and company development from day one.

If you want to work with an experienced team and thrive in an environment where your ideas and initiative are highly valued, this role is for you! responsibilities : Collaborate with data experts and stakeholders to understand business objectives and identify opportunities for leveraging data to drive decision-making and business growth.

Design and implement advanced data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets.

Develop and deploy machine learning models using Databricks for predictive analytics, anomaly detection, and other data science applications.

Conduct exploratory data analysis to identify patterns, trends, and correlations in the data and communicate findings to both technical and non-technical stakeholders.

Stay up to date with the latest advancements in data science, AI, and machine learning techniques, and proactively identify opportunities to apply them to business challenges.

Mentor and provide guidance to junior data scientists, sharing best practices and fostering a culture of continuous learning and improvement.

requirements-expected : Proven experience as a Data Scientist with a track record of delivering impactful data-driven solutions.

Knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling.

Proficiency in programming languages such as Python or R and experience with data manipulation and analysis libraries (e.g., pandas, Num Py, scikit-learn).

Expertise in using Databricks for data science workflows, including data preprocessing, feature engineering, model training, and evaluation.

Experience working in a collaborative, cross-functional team environment is highly desirable.

Hands-on production experience with MLOps in Databricks, particularly in Model Registration and Evaluation workflows.

Competency in Anthropic’s Model Context Protocol, Azure AI Agent Service, or Dapr.

Expertise in building AI Agents and integrating them into advanced reasoning models to solve complex business challenges.

AI “Platform” skills, including implementing constraints, monitoring, automated testing, and optimizing AI systems for reliability and scalability offered : Remote B2 B Contract – flexible collaboration, straightforward settlements.

Long-Term Cooperation – we offer long-lasting projects, and once they end, we strive to find new ones that suit your skill set.