Role Description We are seeking a Data Scientist I who will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks. - Support the development of dashboards, calculations, and reports which may require programming. - Support the development and tuning of machine learning models, which may require programming. - Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance. - Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design. - Perform error analysis and suggest and implement improvements. - Other duties as assigned. In addition to the duties listed above, the B Lab is seeking a Data Scientist I to support a five-year, Baltimore-based, adolescent-focused project designed to support youth affected by household and neighborhood challenges. The Data Scientist I will also: - Research best practices and state-of-the-art methodologies that can be applied in the assigned area. - Clean, assess quality and bias, explore, analyze, and visualize data. - Use subject matter expertise to coach data best practices. - Lead and contribute to research dissemination efforts (e.g., professional conferences and peer-reviewed manuscripts). Qualifications - Bachelor’s Degree. - Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience. - Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Requirements - Advanced degree in public health or related field (preferred). - Experience with ArcGIS and conducting longitudinal data analyses (preferred). Benefits - Continuous Improvement - Developing - Data Architecture - Developing - Data Management and Analysis - Developing - Data Tools and Platforms - Developing - Data Validation and Quality Assurance - Developing - Data Visualization - Developing - Machine Learning - Developing - Oral and written communications - Developing - Programming Languages - Developing The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Company Description The B Lab is a community-based research team led by Dr. Terri Powell and housed in the Johns Hopkins Bloomberg School of Public Health. We are dedicated to conducting community-engaged research to support the healthy development of youth in Baltimore and beyond. We bring together faculty and students, community partners, local organizations, and young people to achieve these goals.

• Own the operational health of Nebius COLO and BTS sites, ensuring each facility runs to expectation across power, cooling, space, connectivity, security, and environmental controls. • Track, monitor, and enforce SLA compliance across landlords and colocation providers; identify breaches, drive remediation, and hold providers accountable to contractual commitments. • Manage and coordinate site maintenance schedules — preventive and corrective — including planning and approving maintenance windows, reviewing Methods of Procedure (MOPs), and minimizing risk to live workloads. • Plan and drive site audits covering compliance, capacity, power/cooling performance, physical security, and safety; track findings to closure. • Serve as the primary day-to-day interface with data center landlords and operators, managing the operational relationship, escalations, and coordination of on-site activity. • Partner closely with the Nebius IT team on deployments, capacity planning, incident response, and change management at each site. • Build reporting mechanisms and dashboards that give leadership clear visibility into site health, SLA performance, maintenance status, and open risk across the portfolio. • Lead incident coordination and post-incident follow-up, including root cause analysis and corrective action tracking with landlords and internal teams. • Track and manage contractual operational obligations, deliverables, and timelines across multiple sites and providers simultaneously.

Title: Senior Scientist Location: Allentown, PA Job Description: What we offer Explore a world of opportunities with us. Look ahead with us and help shape innovative solutions to make our world more sustainable and life healthier, more vibrant and more comfortable. At Evonik, you have the chance to explore, thrive, and grow alongside 33,000 colleagues. Among attractive career paths and high-quality development programs, we not only offer performance-based remuneration and occupational health benefits but also hybrid and flexible working environments with #SmartWork. Bring your fresh perspective, develop your strengths, break out your mold, and find a career that fits your dreams with us. Click on the link below to learn what our employees have to say about Evonik: https://careers.evonik.com/en/about/meet-the-team/ Provide technical service and product technical support to Coatings Additives distributors, sales and customers, including supporting joint technical visits with sales and distributors to local customers in the US and Canada. Ensure long term business growth by demonstrating technical service competencies and bringing innovation to customers as well as to local distributors. Identify, design and develop technical projects, built over a global base, in order to satisfy the defined market needs. Manage, plan and execute laboratory work for customer projects, application development projects and product development programs to support product and market development strategies to drive the CAD business in the Transportation / Leather / Plastic coatings segment. Optimize the use of laboratory resources, assigned by the BL CAD and maintain raw material’s inventory list, according to project requirements and aligned with ESHQ. Support laboratory safety programs and initiatives. RESPONSIBILITIES - Support Global Industry and Market Teams by independently performing a broad range of activities – experiments, tests and laboratory processes and procedures – requiring specialized knowledge of formulating techniques, spray application, and raw material product information to test products in coating formulations supplied by customers or raw material suppliers. This includes supporting development and implementation of strategies and new product developments to gain market penetration of CAD technologies into Transportation / Plastics / Leather coatings segment. - Develop, recommend and implement new or revised tests to promote existing and new products and the development of new market areas. - Provide technical support to customers by customer visit, telephone and emails. This includes technical visits with field sales force to present products and technology. - Prepare presentations, technical reports, summaries and analysis of his/her work. - Attend and deliver papers at industry trade shows and conferences. - May supervise or train other laboratory personnel in the performance of specialized work. May oversee the activities of other employees assigned to support a specific project (lower level scientists, technicians, interns). - Maintains team raw materials list. Writes Safe Work Practices and supports Design Hazard Reviews, Management of Change and other safety documentation as needed. - Participate in on-site safety program and activities REQUIREMENTS - Minimum requirement: Bachelor’s degree in Chemistry, Chemical Engineering, or a related scientific field with 7+ years of experience in formulating coatings for Transportation/Plastic applications. - Preferred qualifications: Ph.D. with 1-2 years of relevant experience or Master’s degree with 3-4 years of experience relevant coatings/additives experience. - Strong coatings formulating experience in relevant coatings field strongly preferred along with strong chemistry background - Position requires ability to formulate, make and apply coatings samples in the lab, including by spray techniques. - Ability to set goals and work independently in designing and conducting experiments, organizing data and analysis of the results. - Good problem-solving skills. - Computer proficiency required with emphasis on Excel spreadsheet capabilities and PowerPoint. - Possesses effective and convincing verbal and technical writing skills in English language. - Proficiency in German language a plus. - Ability to travel domestic and internationally and make technical presentations to customers as needed to proactively support technical sales The Evonik Group adopts an Equal Employment Opportunity (EEO) approach. Candidates are assessed based on their educational qualifications, experience, job competencies and potential and shall not be discriminated against on the basis of race, ethnicity, age, gender, religion, nationality, disability or sexual orientation or other classifications protected by local, state, or provincial regulations. Your Application To ensure that your application is proceeded as quickly as possible and to protect the environment, please apply online via our careers portal. Further information about Evonik as Employer can be found at www.evonik.com/en/careers.html. Please address your application to the Talent Acquisition Manager, stating your earliest possible starting date and your salary expectations.

Role Description As a Senior Data Scientist at Atria, you will generate the medical insights and forecasts that shape how our clinicians care for members and how Atria runs as a practice. You'll work with one of the most distinctive longitudinal datasets in medicine: deep per-member baselines (whole-genome sequencing, advanced imaging, comprehensive labs, movement analysis, lifestyle inputs) revisited on cadence over years and linked across full family lineages, alongside the operational data of how a multi-disciplinary care team actually delivers that care. Your work spans both sides of that equation: surfacing clinically meaningful patterns clinicians can act on, and building the analyses, forecasts, and operational models that help Atria deliver better care more efficiently. What you'll do - Generate medical insights from Atria's longitudinal clinical data: surface early signals of disease, characterize how members respond to interventions, and identify population-level trends clinicians can act on. - Build forecasting models on clinical and operational signals: disease progression, biomarker trajectories, member engagement, demand and capacity planning, and other time-series problems. - Lead or contribute to operational analytics: visit patterns, throughput and scheduling, panel composition, vendor performance, member journeys, and the quiet efficiency questions that compound over a year. - Design and execute studies in partnership with clinicians: clear questions, well-controlled comparisons, honest error analysis, and writeups that hold up to clinical scrutiny. - Design and analyze experiments (A/B tests, staged rollouts, quasi-experiments) with appropriate attention to power, multiple comparisons, and the difference between "statistically significant" and "actually mattered". - Author and maintain curated views and dbt models in our Snowflake gold layer, documented well enough that clinicians and operational staff can use them confidently without a Slack DM to you every Tuesday. - Build dashboards and analytical tools in Omni Analytics that clinicians and operational leaders actually use to make decisions. - Partner with the AI Scientists and AI Engineers on the boundary where analytical work meets model training and production systems: contributing ground truth, evaluation datasets, and the clinical framing that keeps their models pointed at the right problem. - Translate clinical and operational questions into well-formed analytical problems, and translate results back into clear recommendations. The translation in both directions is most of the job. - A bias to deliver. You would rather have a clear answer to a real question in front of a clinician next week than a beautiful methodology that ships next quarter. - A scrappy streak. You can pick up an unfamiliar dataset, statistical method, or clinical concept on a Wednesday and have a credible first cut by Friday. - A serious drive to keep getting better. You read other people's analyses, papers, and code. You treat being wrong as cheap information rather than an event requiring counseling. Qualifications - Experience in data science, analytics, or applied statistics: 5+ years, with at least 2 in healthcare, biomedical, or another regulated longitudinal-data domain. - Strong foundation in statistics and probability: you can defend a confidence interval, a regression specification, and a sensible forecasting baseline honestly. - Solid working knowledge of forecasting and time-series methods (classical and modern), regression modeling, and applied ML for tabular data (gradient boosting and related). - Familiarity with the design and analysis of experiments and quasi-experiments: enough to know when an A/B test is the right tool, when it isn't, and what to do about it. - Strong Python (pandas, scikit-learn, statsmodels, and at least one forecasting library) and SQL that you write without apologizing for. - Comfort with a cloud warehouse (Snowflake preferred) and modern data tooling such as dbt and a workflow orchestrator (Dagster, Airflow). - Track record of partnering with domain experts and turning their questions into defensible analytical work: clinicians, ops leaders, or comparable stakeholders. - Clear written and visual communication: tight executive summaries, defensible methods sections, and charts that have titles, axes, and a point. - Interest in healthcare and the responsibility that comes with working on data that affects patient care. Nice to have - Graduate degree in a quantitative field (statistics, biostatistics, epidemiology, computer science, applied math, or a relevant clinical/biological science), or a strong track record of analytical work in lieu of formal credentials. - Experience with causal inference methods. - Experience with modern forecasting toolkits and hierarchical or probabilistic forecasting. - Familiarity with modern deep learning tools (PyTorch, Hugging Face ecosystem): enough to collaborate productively with AI Scientists and Engineers. - Familiarity with a BI tool (Omni, Looker, Mode, Tableau). - Published peer-reviewed clinical, biomedical, or operations research. - Any prior work in healthcare, biology, or another regulated domain. Salary $180,000 - $260,000 Base Salary + performance-based bonus Benefits - Excellent health and wellness benefits, fully covered by Atria, effective date of hire. - OneMedical membership for employees & dependents, giving access to 24/7 virtual care. - Fertility & family planning. - Company-covered preventive health screenings through partner hospitals (calcium score). - Fitness Perks, including Wellhub +. - 401k contributions and 4% match starting after 6 months.