Offer summary

Qualifications:

Minimum 5 years of experience in Data Science or related field., Proficiency in Python and its scientific libraries such as NumPy, pandas, scikit-learn, and TensorFlow or PyTorch., Strong SQL skills for data manipulation and extraction., Hands-on experience with time series forecasting and multimodal datasets..

Key responsibilities:

Design and implement end-to-end machine learning solutions for business problems.

Collaborate with cross-functional teams and stakeholders to extract insights and validate hypotheses.

Perform exploratory data analysis and develop predictive models, especially with time series data.

Ensure best practices in model deployment, monitoring, and data initiatives.

Job description

We are looking for a highly skilled and business-oriented Senior Data Scientist to join the growing team. In this role, you will lead the design, development, and implementation of advanced machine learning models to solve real-world business challenges. Youll work closely with cross-functional teams and stakeholders to extract insights, validate hypotheses, and translate data into actionable solutions.

Responsibilities:

Design and implement end-to-end machine learning solutions for real-world business problems.
Work with structured and mixed (multimodal) data types, including tabular data, text, audio, or image data.
Develop and maintain robust, readable, and modular Python code for prototypes and production-ready pipelines.
Collaborate with Data Engineers, Analysts, and cross-functional teams to support data initiatives.
Lead the organization of the data team, fostering collaboration and best practices.
Perform in-depth exploratory data analysis and develop predictive and forecasting models, especially with time series data.
Participate in user interviews and stakeholder meetings to gather insights and explain model outcomes in simple, actionable business terms.
Conduct A/B testing and statistical evaluations to assess the performance of different models or strategies.
Ensure the implementation of MLOps best practices for model training, deployment, and monitoring.
Stay updated on emerging trends, techniques, and technologies in machine learning and data science.

Requirements:

5+ years of experience in Data Science or a related field.
Strong proficiency in Python and its scientific ecosystem: NumPy, pandas, scikit-learn, and TensorFlow/Keras or PyTorch.
Solid expertise in SQL for data manipulation and extraction.
Strong mathematical and statistical foundations, preferably with a degree in Computer Science, Mathematics, or related fields.
Hands-on experience in time series forecasting.
3+ years working with tabular and multimodal datasets (e.g., combining tabular with text, image, or audio).
Upper-intermediate or higher level of English, with the ability to engage in client communication and user interviews.

Benefits:

Work on impactful, data-driven projects across industries.
Join a team of dedicated professionals passionate about solving complex challenges.
Opportunity for professional growth and continuous learning.
Flexible work environment and a strong culture of trust and ownership.

Required profile