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Mlops Data Engineer Jobs in Delaware (NOW HIRING)

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Mlops Data Engineer information

What is the difference between Mlops Data Engineer vs Data Scientist?

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining machine learning models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

What are the key skills and qualifications needed to thrive as an MLOps data engineer?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps data engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What is an MLOps data engineer?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What is the salary of MLOps Data Engineer?

The salary of an MLOps Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with advanced skills in cloud platforms, automation, and machine learning tools may earn higher compensation.
What are popular job titles related to Mlops Data Engineer jobs in Delaware? For Mlops Data Engineer jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Mlops Data Engineer jobs? Cities in Delaware with the most Mlops Data Engineer job openings:

Director, US Forecasting & Analytics- Vaccines & Immune Therapies

AstraZeneca

Wilmington, DE

Full-time

Posted 3 days ago

New


AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

22nd of 86 rated pharmaceutical


Job description

Director, US Forecasting & Analytics - Vaccines & Immune Therapies (V&I)

Wilmington, DE

Global Insights, Analytics & Forecasting, BBU

Hybrid Work- on average 3 days a week from office

The Director is a senior commercial insights leader responsible for US demand forecasting and analytics across the Vaccines and Immune Therapies portfolio. The role is predominantly forecast-focused, serving as the US forecasting lead and strategic thought partner to Marketing, Finance, Market Access, and US teams. The position also includes vendor management and forecasting adjacent analytics leadership to ensure the effective deployment of analytical resources and continuous evolution of forecasting and insight capabilities within V&I. Time allocation may vary by business cycle and portfolio priorities.

You'll play a critical role in shaping commercial expectations, risk and opportunity framing, and executive decision-making for in-market and late-stage pipeline vaccines and immune therapies.

What you'll do

US Forecasting Leadership (Core Accountability)

  • Lead US short-term and long-term demand forecasts (TRx, NBRx, volume, patients, revenue) for V&I assets using robust, patient-based and market-based models

  • Own forecast methodology, assumptions, and governance, ensuring objectivity, transparency, and consistency with enterprise standards

  • Integrate primary market research, epidemiology, competitive intelligence, access dynamics, and real-world data into forecast models

  • Proactively identify and quantify key risks and opportunities through scenario and sensitivity analyses

  • Partner closely with Finance, Market Access & Pricing, Marketing, Sales, Medical, and Global Forecasting to ensure alignment on assumptions and implications

  • Support business planning, governance reviews, and opportunity assessments with clear, executive-ready narratives

  • Serve as a trusted advisor to senior marketing and finance leadership, clearly articulating forecast drivers and changes

Analytics & Resource Leadership (Enablement)

  • Provide leadership over forecasting-adjacent analytics, ensuring advanced analytics and insights are embedded into forecasting and business planning

  • Manage and prioritize internal analysts, contractors, and external vendors supporting forecasting and analytics deliverables

  • Partner with data analytics resources, Global IA&F, and GIBEX capability teams to deploy new tools, data sources, and modeling approaches

  • Champion and identify new ways to embed AI and automation into the practice of data analytics and forecasting to drive efficiency, scalability, and decision quality

  • Champion continuous improvement in forecasting processes, AI-enabled modeling, and automation

  • Contribute to the development and sharing of best practices across the V&I forecasting community

Essential for the role

  • Bachelor's degree in a quantitative, scientific, or business-related field (e.g., Statistics, Economics, Mathematics, Engineering, Computer/Data Science)

  • 8+ years' experience in US pharmaceutical commercial forecasting, including in-market and late-stage pipeline assets

  • Hands-on model ownership experience (build, refresh, and performance tracking) across short- and long-term horizons

  • Expertise in scenario-based forecasting, sensitivity analysis, and driver-based narratives to support senior decision making

  • Strong capability integrating multiple data types (e.g., IQVIA, claims, epidemiology, RWD/RWE, primary research) into coherent, decision grade forecasts

  • Knowledge of advanced analytics/ML approaches (e.g., time series, causal inference, ensembles) vs. traditional methods

  • Fluency in modern analytics tooling and automation (e.g., Python/R/SQL, BI/visualization), with ability to partner with data engineering and analytics teams

  • Demonstrated forecast governance and model risk discipline (traceable assumptions, documentation, and clear explanations)

  • Strong understanding of US market access and payer dynamics and how they impact demand (coverage, contracting, channel, policy)

  • Ability to translate complex analysis into clear, executive-ready insights, options, and recommendations

  • Strong commercial competence across key demand levers (positioning, adoption, competitive dynamics, lifecycle events)

Desirable for the role

  • Advanced degree (e.g., MBA, MS, PhD in Statistics, Economics, Decision Sciences, Data Science, or related field).

  • Vaccines and/or Rare Disease experience, including familiarity with immunization dynamics, patient-based forecasting, and lifecycle management in preventive or immune-mediated therapies

  • Change leadership: builds adoption for new tools, processes, and ways of working across cross-functional stakeholders

  • Product perspective for forecasting: defines user needs, success metrics, and a roadmap for portfolio forecasting capabilities

  • Model lifecycle practices (e.g., reproducibility, versioning, monitoring/drift awareness); familiarity with MLOps concepts

Office Working Requirements

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

#LI-Hybrid

Date Posted

05-Aug-2026

Closing Date

18-Aug-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.


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