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Phd Machine Learning Startup Jobs in Missouri (NOW HIRING)

Walmart

Data Scientist III

Noel, MO

$90K - $180K/yr

PhD in Computer Science, Machine Learning Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a comparable quantitative field. * A history of research contributions, with ...

Walmart

Data Scientist III

Anderson, MO

$90K - $180K/yr

PhD in Computer Science, Machine Learning Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a comparable quantitative field. * A history of research contributions, with ...

Walmart

Data Scientist III

Cassville, MO

$90K - $180K/yr

PhD in Computer Science, Machine Learning Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a comparable quantitative field. * A history of research contributions, with ...

Walmart

Principal, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics ...

Walmart

Principal, Data Scientist

Noel, MO

$110K - $220K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics ...

Walmart

Principal, Data Scientist

Anderson, MO

$110K - $220K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics ...

Walmart

(USA) Distinguished, Data Scientist

Noel, MO

$130K - $260K/yr

PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field with relevant industry experience. About Walmart Global Tech ...

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Phd Machine Learning Startup information

What are some common challenges faced by PhD-level professionals working in machine learning startups?

PhD-level professionals in machine learning startups often encounter challenges such as balancing research innovation with the need for rapid product development. Unlike academia, startups prioritize practical solutions that fit tight deadlines and resource constraints. Team members typically wear multiple hats and collaborate closely with engineers, product managers, and business stakeholders, requiring strong communication skills and adaptability. Additionally, translating cutting-edge research into scalable, real-world applications can be both intellectually rewarding and demanding.

What do PhD holders in Machine Learning do at startups?

PhD holders in Machine Learning at startups typically lead research and development efforts to create innovative algorithms and models that solve real-world problems. They often work on designing and implementing advanced machine learning solutions, analyzing large datasets, and collaborating with product and engineering teams to bring research ideas to production. Their expertise helps startups stay competitive by driving technological advancements and fostering a culture of innovation.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional in a startup environment, and why are they important?

To excel as a PhD-level Machine Learning professional at a startup, you need advanced expertise in machine learning algorithms, statistical modeling, and a doctoral degree in a related field. Experience with Python, TensorFlow, PyTorch, and version control systems, along with a strong publication record, is typically expected. Initiative, adaptability, and excellent problem-solving and communication abilities are crucial soft skills in the fast-paced startup setting. These competencies enable rapid innovation, effective team collaboration, and successful deployment of machine learning solutions under resource constraints.
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What job categories do people searching Phd Machine Learning Startup jobs in Missouri look for? The top searched job categories for Phd Machine Learning Startup jobs in Missouri are:
What cities in Missouri are hiring for Phd Machine Learning Startup jobs? Cities in Missouri with the most Phd Machine Learning Startup job openings:
Phd Machine Learning Startup jobs near you
Senior Data Scientist Engineer - SFL Scientific

Senior Data Scientist Engineer - SFL Scientific

Deloitte

Kansas City, MO • On-site

Full-time

Posted yesterday

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading consulting firm that provides strategic and transactional services to clients. They are seeking a Senior Data Scientist to collaborate with clients on designing and developing innovative data science projects and solutions, focusing on AI and machine learning applications.
Responsibilities:
• Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
• Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
• Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
• Validate AI models and algorithm via code reviews, unit, and integration tests
• Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
• Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
• 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
• 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
• 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• 2+ years of experience working in a client-facing, consulting environment
• 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
• 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
• 1+ year of experience with AWS Sagemaker or AWS ML Studio
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 2008, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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