#sejaSysMap #SysMap #soulSysMap
Senior Data Scientist
Location
Brazil
Posted
6 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist
SysMap Solutions
• Perform quantitative and statistical analyses applied to supply chain processes; • Develop predictive models and optimization algorithms to support decisions in logistics, inventory, demand planning, and other areas; • Partner with business stakeholders to understand problems and propose data-driven solutions; • Document methodologies and results clearly and concisely; • Ensure the quality and integrity of data used in analyses.
Job Requirements
- Bachelor's degree in Data Science, Engineering, Statistics, Mathematics, Economics, or related fields;
- 5+ years of experience in data science applied to supply chain;
- Proficiency in Python, SQL, and libraries such as Pandas, Scikit-learn, NumPy;
- Experience with statistical modeling, machine learning, and optimization algorithms.
- Nice to have:
- Knowledge of optimization libraries (e.g., Pyomo or PuLP);
- Experience with cloud platforms (preferably AWS);
- Familiarity with time series and demand forecasting (e.g., Prophet);
- Postgraduate degree or MBA in related fields.
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
• Design and implement AI/NLP methods for biomedical literature mining and structured protocol knowledge extraction. • Develop benchmark datasets, annotation guidelines, and evaluation pipelines for scientific information extraction. • Build and evaluate RAG, in-context learning, fine-tuning, graph matching, entity normalization, and KG query workflows. • Analyze extraction errors, model behavior, retrieval failures, grounding quality, and biological ambiguity. • Collaborate with software engineers to integrate research methods into usable tools and reproducible pipelines. • Collaborate with organoid biologists and domain experts to translate biological protocol knowledge into computable representations. • Prepare manuscripts, conference abstracts, technical reports, design documents, and open-source research artifacts. • Help define research milestones, evaluation criteria, and publication strategy for protocol intelligence work.
MLS Data Reviewer I
NateraWe are a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health.
Role Description The Medical Laboratory Scientist I, Data Reviewer is a member of the Operations Department to review and analyze clinical test results. This individual collaborates with a team of CLS and laboratory personnel to maintain accurate records of test results and patient information and perform any troubleshooting as needed. Qualifications - 0-2 years experience as an ASCP-certified Medical Technologist in a clinical laboratory environment with knowledge in molecular diagnostics. - A bachelor's, or higher, degree in medical technology or laboratory science OR a bachelor’s, or higher, degree in one of the chemical, physical, or biological sciences, and at least six months of acceptable supervised experience and/or relevant training. - Current MT/MDxT/CLS/MB certification from ASCP, AMT or AAB is required. - A copy of the degree is required upon time of hire. Degrees must be from the US or equivalent. Requirements - Review clinical test results of molecular genetic testing received from laboratories for accuracy and translate into LIMS. - Review and analyze raw data files in proper software and resolve routine issues. - Verify the proper specimen analyzed for patients and review the test requisition forms to verify the correct tests were performed. - Work within several laboratory information systems to review patient demographics and make corrections as needed. - Responsible for understanding most current applicable standard operating procedures. - Ensures compliance with all regulatory agency requirements through documentation, audits, and corrective action and follows GLP (good laboratory practice). - Comply with all company and department policies and procedures. This role works with PHI on a regular basis both in paper and electronic form and has access to various technologies to access PHI (paper and electronic) in order to perform the job. - Employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training, and security training as soon as possible but not later than the first 30 days of hire. - Performs other duties as assigned. Benefits - Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. - Free testing for Natera employees and their immediate families in addition to fertility care benefits. - Pregnancy and baby bonding leave. - 401k benefits. - Commuter benefits. - Generous employee referral program. Company Description Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.
Global Data Scientist – Marketing Measurement and Optimization
McCormick & CompanyMcCormick & Company was founded in 1889 and is located in Sparks, Maryland. As a worldwide leader in manufacturing, marketing, and the distribution of seasoning
• Lead the design and implementation of next-gen media measurement and optimization capabilities, integrating marketing mix, long term brand equity measurement, in-flight measurement (e.g., lift studies, A/B testing), pre-market factors that affect media (e.g., creative testing) • Develop media-driven volume forecasting tools to integrate into McCormick’s demand forecasting platform • Drive and leverage external connections to find new and improved tools and approaches to bring into McCormick • Partner with vendors used for outsourced models, serving as lead consultant on technical methodology alignment integration with new capabilities • Develop training content that enables business partners to use marketing optimization capabilities more effectively
Data Scientist – Medior
Refinery89Helping publishers and advertisers to drastically increase their results from ads #ForPublishersByPublishers
• Lead development of statistical and machine learning models to optimize performance • Design and execute A/B/n experiments for measurable improvements • Translate results into production-ready solutions • Collaborate with cross-functional stakeholders to identify use cases • Own the model lifecycle from ideation to performance monitoring • Present findings to technical and non-technical audiences • Contribute to data science practices and frameworks




