Job Openings
Senior Data Scientist
About the job Senior Data Scientist
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.