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Machine Learning Assistant Jobs in Delaware (NOW HIRING)

Barclays

Model Validation AVP

Wilmington, DE

Assistant Vice President Expectations * To advise and influence decision making, contribute to ... Experience with machine learning methods and analytical tools Highly valued skills: * Ability to ...

JPMorgan Chase & Co

Trade Support, Associate

Newark, DE

$16.75 - $21.75/hr

... * Assist in training and mentoring junior team members, fostering a collaborative and growth ... Skill in utilizing AI and machine learning to enhance trade service processes, driving improved ...

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Machine Learning Assistant information

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.
What are the most commonly searched types of Machine Learning jobs in Delaware? The most popular types of Machine Learning jobs in Delaware are:
What are popular job titles related to Machine Learning Assistant jobs in Delaware? For Machine Learning Assistant jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Delaware look for? The top searched job categories for Machine Learning Assistant jobs in Delaware are:
What cities in Delaware are hiring for Machine Learning Assistant jobs? Cities in Delaware with the most Machine Learning Assistant job openings:
Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Delaware as of May 2026, with employment types broken down into 73% Full Time, 23% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Finance Data Analyst

Finance Data Analyst

Corteva Agriscience

Wilmington, DE • On-site

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

Who are we, and what do we do?
Corteva Agriscience based in Indianapolis, Indiana, USA, is a top-tier agricultural company that combines the power of science and technology with the "Human Element" to constantly improve what is essential to human progress. Corteva Agriscience provides innovative technologies for crop protection, pest and vegetation management, seeds, traits, and agricultural biotechnology to serve the world's growing population.
With a global footprint and over 23,000 employees, Corteva is building the future of agriculture and leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.
Corteva Agriscience is searching for an innovative and energetic individual for a Finance Data Analyst to join our Global Strategic Projects finance team. This role blends traditional accounting expertise with advanced data analytics and emerging AI technologies to drive innovation and efficiency across financial processes.
Primary Responsibilities - How will you help us grow?
  • Develop and maintain automated workflows using Alteryx to streamline data preparation, reconciliation, and reporting.
  • Collaborate with cross-functional teams to identify opportunities for applying AI and machine learning in finance (e.g., forecasting, anomaly detection, intelligent automation).
  • Evaluate and implement emerging technologies to enhance financial systems and processes.
  • Support Data Workflows: Assist in the development, deployment, and maintenance of data pipelines and workflows within the Databricks environment.
  • Data Integration: Support the ingestion and transformation of data from various sources (e.g., cloud storage, databases, APIs) into Databricks for analysis and reporting.
  • Serve as a subject matter expert on integrating technical tools with accounting functions.
  • Support internal and external audits with data-driven insights and documentation.
  • Create and maintain documentation for processes, best practices, and troubleshooting guides.
  • Train and mentor team members on Alteryx, Databricks and other technical tools.

Key Interactions
  • Works closely with Global Finance team to implement and support Alteryx workflows.
  • Works in concert with Global Finance project team to create digital roadmap and determine future projects.
  • Collaborates with IT support teams

Education and Experience - What you will bring to the table!
  • Bachelor's degree in Accounting, Finance, Data and Analytics, Data Science or related field.
  • 5-7 years of progressive accounting experience.
  • Proficiency in Alteryx Designer and experience building complex workflows.
  • Familiarity with AI/ML applications in finance such as predictive analytics, natural language processing, or robotic process automation.
  • Strong background in Databricks.
  • Strong understanding of financial systems and data structures.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Experience with tools such as Power BI, Python, SQL, Tableau, snowflake, or Azure ML.
  • Knowledge of ERP systems (e.g., SAP, BPC).
  • Exposure to finance transformation initiatives or digital finance strategy.

Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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