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 between 60.000 and 70.000 euros
• Flexible remuneration and benefits system via Flexoh, which includes: restaurant card, transportation card, kindergarten, and training tax savings
• Share options plan after 6 months of working with us
• True flexibility and work-life balance
• Remote or hybrid work model with our hub in Barcelona
• Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
• Summer intensive schedule during July and August (work 7 hours, finish earlier)
• 23 paid holidays, with exchangeable local bank holidays
• Additional paid holiday on your birthday or work anniversary (you choose what you want to celebrate)
• Private healthcare plan with Adeslas for you and subsidized for your family (medical and dental)
• Access to hundreds of gyms for a symbolic fee in partnership for you and your family with Andjoy
• Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling
• Free English and Spanish classes