Senior Data Scientist, Docplanner

• This role requires the right blend of technical expertise and business acumen: we highly value pragmatic, simple and elegant solutions with proven impact
• The ideal candidate has already experience in a similar role and is comfortable participating in complex scale-up organizations within the SaaS industry
• 5+ years of relevant experience in data, working with state-of-the-art technologies
• Good understanding of statistical models (hypothesis testing, regression analysis, etc.) and time series analysis
• Expertise in ML-based methodologies, both supervised and unsupervised (regression, tree models, etc.), and model evaluation techniques
• Hands-on experience in model development, deployment, and optimization using libraries and frameworks like NumPy, Pandas, Scikit-learn, PyTorch, and Keras
• Experience working with Data Warehouses such as Redshift, BigQuery, and Snowflake, and familiarity with version control practices using Git
• Understanding of model development lifecycle, MLOps, containerization and orchestration: Docker, Kubernetes, MLFlow, etc
• Excellent communication skills and stakeholder management, with the ability to convey complex methodologies and data insights clearly to both technical and non-technical audiences
• Strong ability to translate business needs into technical requirements, including feature engineering and model fine-tuning, with a pragmatic approach to problem-solving
• Agile mindset with the capability to experiment, test hypotheses, and adapt to a constantly evolving work environment, alongside a commitment to continuous learning and big-picture thinking
• Growth mindset: While we don't expect you to check every box, a passion for learning and self-improvement is highly valued

Desirable

• In this role as a Senior Data Scientist at Docplanner, your main focus will be unlocking actionable insights for our senior leadership and operations, with particular emphasis on Sales excellence
• You will take ownership of our high-impact Decision Science initiatives, leveraging our large-scale data sources and ML infrastructure, while collaborating closely with cross-functional team members, including business stakeholders and data engineers
• You will be part of a team of passionate data professionals in our Global Data department, responsible for overseeing data and analytics initiatives across Docplanner’s international operations
• Lead the complete model development lifecycle, implementing best practices for consistent testing and efficient software delivery
• Create, deploy, and fine-tune predictive models and machine learning algorithms for specific use cases, including developing ML models to interpret data, recognize patterns, and forecast outcomes
• Craft rigorous experiments and deliver insights to answer empirical questions
• Collaborate with data engineering and infrastructure teams to maintain and enhance a centralized data platform
• Participate in interdisciplinary projects at the intersection of business and technology, utilizing opportunities to develop innovative solutions that provide substantial value to customers on a large scale
• Document workflows, model specifics, and software solutions to facilitate knowledge sharing and ensure reproducibility