Seeking a Data Scientist/Machine Learning Semi Senior to develop data - based solutions in Buenos Aires. Must have strong Python skills and experience in Machine Learning.
About the role
- Manager in Data Science for Oncology, supporting data workflows and engineering requirements in R&D. Collaborate with technical teams to deliver AI-ready data applications for innovative medicine.
Responsibilities
- Serve as both a people leader and a hands-on contributor for designing, developing and maintaining data pipelines for acquiring, managing and storing Oncology R&D data from diverse sources (e.g. biomarker labs, real-world data sources, pre-clinical applications)
- Work closely with Data Science and Oncology R&D partners to understand, document and prioritize business requirements. Translate these business needs in to high quality data products.
- Work closely with other technical leaders, such as Ontology and Knowledge graph Engineers to design and deliver future-proof, AI-ready data systems aligned with Oncology R&D business needs.
- Develop Oncology R&D-specific data repositories by implementing standard enterprise-level data models and create new data models as needed.
- Leverage cloud-based technology platform to accomplish goals, such as building and maintaining data repositories using AWS S3.
- Create and optimize data flows for structured and unstructured data using technologies such as Python, R, SQL, AWS services and other relevant tools.
- Implement quality and performance standards and measure KPIs to determine accuracy and consistency
- Leverage and implement data versioning and lineage tracking to support data traceability, compliance, maintaining documentation for data architectures and workflows.
- In adherence to internal standards, implement software development best practices such as Code Versioning, DevOps.
Requirements
- Advanced degree (Master’s or equivalent) in Computer Science, Engineering, Life Sciences, or other relevant field is strongly preferred. (Bachelor’s Degree with experience equivalency may be considered.)
- 5+ years of experience in data engineering, including data modeling and database design, preferably in the healthcare industry
- 2+ years experience managing a technical team aimed at delivering data systems, preferably in the healthcare industry.
- Proficiency in data engineering tools such as Python, R and SQL for data processing as well as cloud architecture (e.g. AWS services, Redshift, FSx, Glue, Lambda).
- Experience with unstructured database technologies (e.g. NoSQL) as well as other database types (e.g. Graph).
- Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors.
- Proven record leading improvement initiatives with multi-disciplinary and remote partners.
- Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning.
- Must have the capacity to translate discussions into user requirements and project plans.
- Ability to manage a numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
- Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings.
Benefits
- medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance
- 401(k)
- Vacation – up to 120 hours per calendar year
- Sick time - up to 40 hours per calendar year
- Holiday pay, including Floating Holidays – up to 13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist/Developer at SEB transforming complex financial data into predictive insights through data modeling and simulations. Strong Python and finance skills required in a hybrid work environment.
Senior Data Scientist leveraging computer vision and machine learning to support Quality Control at Walmart. Collaborating with engineering and business to deliver scalable data solutions.
Senior Data Scientist addressing complex ML and AI challenges at JLL. Collaborating in a hybrid environment with a focus on real estate technology in Tel Aviv.
Applied Data Scientist designing and implementing AI - driven pipelines for Binance's blockchain products. Collaborating on complex systems to enhance market understanding and trading intelligence.
Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.