Senior Data Scientist

We are looking for a Senior Data Scientist to join our team and lead innovative data-driven solutions. The ideal candidate will be responsible for managing and executing complex data science projects, from inception to deployment. This role requires expertise in machine learning, statistical analysis, and data visualization, with the ability to collaborate across teams and communicate findings to key stakeholders.

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Responsibilities

• Lead complex data science projects, driving them from conception through deployment
• Design and implement supervised and unsupervised machine learning models and analytical solutions
• Develop and maintain interactive Tableau dashboards
• Collaborate with stakeholders to understand business needs and design appropriate technical solutions
• Conduct thorough quality assurance testing for analytical prototypes and tools
• Mentor junior team members, fostering their technical growth
• Drive innovation through R&D initiatives and exploration of new methodologies
• Ensure timely delivery of project deliverables while proactively managing risks
• Present findings and recommendations to senior leadership and stakeholders

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• 3+ years of experience in a Data Scientist or similar role
• Expert-level proficiency in Python and SQL
• Advanced experience with machine learning frameworks (sklearn, scipy)
• Strong knowledge of data manipulation and analysis using pandas and numpy
• Expertise in data visualization tools such as Plotly and Matplotlib
• Solid experience working in cloud-based ecosystems like Databricks and Hue
• Proficient in designing and developing machine learning models for supervised and unsupervised tasks
• Proven track record of developing and maintaining interactive dashboards, preferably in Tableau
• Strong collaboration skills to work with stakeholders and cross-functional teams
• Strong communication skills with the ability to present complex data insights to senior leadership
• B2+ English proficiency

• Competitive compensation depending on experience and skills
• Variety of projects within one company
• Being a part of a project following engineering excellence standards
• Individual career path and professional growth opportunities
• Internal events and communities
• Flexible work hours