Sr. Data Scientist 3

Accountabilities

• Develop and deploy advanced data science and machine learning solutions to solve complex client and business problems.
• Design and optimize data models, predictive systems, and analytical frameworks using large-scale datasets.
• Work with data engineering teams to build, maintain, and improve scalable data pipelines and analytics infrastructure.
• Leverage tools such as Python, SQL, and cloud platforms (e.g., GCP, BigQuery, AWS, Azure) to extract and analyze insights.
• Conduct data audits to ensure accuracy, consistency, and reliability of large and complex datasets.
• Collaborate with clients and internal teams to identify opportunities for marketing, attribution, and segmentation solutions.
• Lead technical projects end-to-end, including scoping, planning, execution, and delivery tracking.
• Guide and support junior team members, ensuring quality, consistency, and adherence to best practices.
• Contribute to innovation initiatives, including experimentation with generative AI, ML models, and advanced analytics techniques.
• Present findings, solutions, and recommendations to both technical and non-technical stakeholders.

Requirements

• Strong academic background in Computer Science, Data Science, Information Systems, or related field (or equivalent practical experience).
• Advanced proficiency in Python and SQL for data analysis and machine learning applications.
• Experience working with big data platforms such as Google BigQuery and cloud environments (GCP preferred, also AWS or Azure).
• Solid understanding of machine learning frameworks and applied statistical modeling techniques.
• Experience designing or working with data pipelines, analytics systems, and scalable architectures.
• Ability to interpret business needs and translate them into technical, data-driven solutions.
• Strong communication skills with the ability to explain complex technical concepts to diverse stakeholders.
• Experience mentoring or guiding junior team members in technical environments.
• Familiarity with digital analytics concepts, web data, and basic JavaScript/HTML is a plus.
• Proven ability to manage multiple priorities in fast-paced, client-facing environments.
• Strong problem-solving mindset with attention to detail and delivery quality.

Benefits

• Comprehensive medical, dental, and vision insurance coverage.
• Paid time off including vacation, sick leave, and public holidays.
• Flexible working hours and remote-friendly work environment.
• Retirement savings plan with employer contribution.
• Paid parental leave and family support benefits.
• Wellness programs, employee assistance, and mental health support.
• Learning and development support, including continuing education reimbursement.
• Remote work stipends and equipment support.
• Paid volunteer time and employee recognition programs.
• Long-term career growth opportunities in both technical and leadership tracks.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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