Senior Data Science Consultant
We are seeking an experienced Senior Data Science Consultant to join our team.
In this role, you will leverage your deep expertise in data science to design and implement impactful solutions that address complex business challenges. You will partner with clients and internal teams to develop strategies that maximize the value of data insights and drive measurable outcomes.
The ideal candidate combines strong leadership and communication skills with a creative, analytical mindset and a proven ability to translate business needs into actionable data-driven solutions. You will also play a key role in mentoring teams and championing the adoption of cutting-edge technologies to ensure innovation and excellence across projects.
Responsibilities
- Lead the development and implementation of data science solutions aligned with business needs
- Collaborate with stakeholders to identify opportunities for data-driven strategies
- Build and optimize machine learning models to improve workflows and business outcomes
- Design and maintain analytics frameworks that enable informed decision-making
- Ensure data science systems are scalable, reliable, and adaptable across environments
- Mentor and provide technical guidance to data science teams to foster growth and expertise
- Analyze data to uncover trends, patterns, and actionable insights
- Communicate results and solutions effectively to both technical and non-technical audiences
- Stay up to date with advancements in artificial intelligence, machine learning, and data science technologies
- Drive innovation by introducing new techniques and tools to enhance workflows and solutions
Requirements
- At least 10 years of experience in IT, with a strong focus on data science and analytics
- Minimum of 5 years in senior leadership roles (e.g., Manager, Architect, Lead) within Agile or hybrid environments
- Proven track record of managing teams of 40+ members, ensuring productivity and alignment with project objectives
- Participation in at least 8 full project lifecycles, or successful launch of 2+ products or significant features to market
- Deep expertise in data engineering, including data preparation, modeling, and visualization for business applications
- Strong knowledge of machine learning methodologies (supervised and unsupervised) and their practical implementation
- Demonstrated ability to design and execute AI/ML strategies to solve complex business challenges
- Advanced proficiency in Python for data analysis, manipulation, and machine learning workflows
- Hands-on experience with PyTorch for building and deploying deep learning models
- Familiarity with TensorFlow for scalable machine learning development and deployment
- Solid experience with cloud platforms (AWS, Azure, or GCP) for managing and deploying data science solutions
- Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences
Nice to have
- Certifications in data science, machine learning, or cloud technologies to validate expertise
- Experience in integrating data science solutions with enterprise systems to improve operational efficiency
- Proficiency in advanced data visualization techniques and tools to effectively communicate insights to stakeholders
