Senior Data Scientist

Summary

Join Docplanner as a Senior Data Scientist and unlock actionable insights for senior leadership and operations, focusing on sales excellence. You will lead high-impact Decision Science initiatives, leveraging large-scale data and ML infrastructure. Collaborate with cross-functional teams, including business stakeholders and data engineers. This role requires a blend of technical expertise and business acumen, emphasizing pragmatic solutions. The ideal candidate has experience in a similar role and thrives in complex, scaling SaaS organizations. You will contribute to making the healthcare experience more human by developing and deploying predictive models and machine learning algorithms.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Databricks, Spark, and other big data technologies
• Neural Networks, NLP, Reinforced Learning
• Tableau, PowerBI, or other BI tools
• Experience working in an agile environment, collaborating with cross-functional teams

Benefits

• A salary adequate to your experience and skills. The range is broad so that we can accommodate our roles for all levels of experience, but we will show you the career ladder to explain where we see your skills and impact within the company". Your salary will be, now and always, 100% transparent to you
• For B2B contract: between 21.500 and 25.000 PLN net monthly or company cost equivalent on employment contract
• Share options plan after 6 months of working with us
• Remote or hybrid work model with or hub in Warsaw
• Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
• 21/26 days of paid time off (depending on your contract)
• Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate)
• Private healthcare plan with Signal Iduna for you and subsidized for your family
• Multisport card co-financing for you to have access to sports facilities across Poland
• Access to iFeel , a technological platform for mental wellness offering online psychological support and counseling
• Free English classes