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Machine Learning Scientist Jobs

Graduate Intern – Machine Learning Engineer / Data Scientist
By Gilead Sciences At Foster City, CA, United States
Ability to use problem solving skills to deduce business requirements and translate into technical solution
Excellent communication skills and the ability to transfer requirements clearly
Key Responsibilities will include, but are not limited to the following:
Build end-to-end data science and engineering solutions utilizing Artificial Intelligence and Machine Learning within a small, dynamic team.
Work cross-functionally with stakeholders in PDM and/or Gilead more broadly.
Support the team by developing innovative methods using advanced engineering and mathematical techniques
Data Scientist - Machine Learning
By Laksan Technologies At Santa Clara, CA, United States
- Monitor and maintain deployed models, making necessary updates as data and business requirements change.
- Excellent problem-solving skills and the ability to translate business needs into technical solutions.
- Strong communication skills and the ability to work effectively in a team environment.
machine learning, data analysis, and programming
- Collect, clean, and preprocess data from various sources to create robust datasets for model development.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and potential issues in the data.
Applied Scientist - Machine Learning
By Microsoft At , Mountain View, 94043 $94,000 - $182,600 a year
2+ years Experience in C++/C and Python
Experience with statistical modeling and deep learning especially with frameworks such as PyTorch, Tensorflow or Keras.
Experience in design, debugging and problem solving.
Experience in shipping high-quality products or services at-scale is a plus.
Ability to work cross-group and across disciplines.
Passion for customers, innovation, product quality, service excellence and test engineering.
Data Scientist, Machine Learning And Rwd
By Citeline At Boston, MA, United States
Experience in working with AWS cloud environment and large databases (e.g., AWS redshift).
Proficiency in SQL. Experience with PySpark is a plus.
Experience in managing ML lifecycle using open-source tools (e.g., MLflow).
Experience with developing web apps and real-time dashboards for data science and ML using open-source tools (e.g., Streamlit).
Solid understanding of omics data and hands-on experience with analyzing such datasets.
Design, train, and evaluate survival, classification, and regression ML models using appropriate algorithms and frameworks.
Experienced Data Scientist (Machine Learning And Operations Research)
By Procter & Gamble At , Cincinnati $146,000 - $172,000 a year
5+ years of relevant work experience in Data Science organization, preferably in the CPG (Consumer Packaged Goods) industry.
Knowledge and application of scientific computing methods i.e., Python, R, Scala
Experience in one of more advanced analytic mythologies such as Machine Learning, Optimization, Simulation.
Experience with large data sets and cloud computing.
Experience with Dev Ops environment: Git, CICD, etc.
Would you enjoy solving billion-dollar data science problems across trillions of data points?
Principal Machine Learning Scientist
By Atlassian At , San Francisco
Master and above degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
5+ years of related industry experience in the machine learning domain
Experience building and scaling machine learning models in business applications using large amounts of data
Experience building NLP related applications
Agile development mindset, appreciating the benefit of constant iteration and improvement
You will report to the Core Machine Learning Senior Manager.
Applied Machine Learning Scientist - 301698
By Grainger At , Lake Forest, 60045

W.W. Grainger, Inc. is seeking an Applied Machine Learning Scientist in Lake Forest, IL with the following requirements: Master’s degree in Computational Linguistics, Computer Science, ...

Senior Machine Learning Scientist
By DeepCure At , Remote
Industry experience (based on the above requirement), preferably in a small start-up environment, working on early-stage drug discovery applications.
Knowledge of chemical informatics, molecular modeling, and drug discovery workflows.
Mentor, learn, and share cross-disciplinary knowledge with others along the way.
Tax-advantaged commuter benefits for public transportation or parking.
Strong passion for using machine learning to improve our world.
A track record of developing novel machine-learning solutions for real-life problems.
Machine Learning Scientist I
By Cambia Health Solutions At , Portland
Healthcare knowledge: Previous experience is beneficial but not required.
Communication and teamwork: Good communication skills to collaborate effectively with cross-functional teams. Willingness to collaborate and learn with team members.
Work primarily performed in a hybrid environment consisting of in-office and working from home.
One-time furniture and equipment allowance for employees working from home
one-time furniture and equipment allowance for employees working from home
Reducing our members’ claim costs using both supervised and unsupervised approaches.
Machine Learning Engineer / Data Scientist
By Ford Motor Company At , Dearborn, 48124, Mi
1+ year of Google Cloud Platform (GCP) experience, including certifications
Strong oral, written and interpersonal communication skills
Legal or regulatory domain experience
5+ years of experience, including both full-time work and research/academia experience, in mathematical programming, data mining, statistical analysis, and/or machine learning
Experience in one or more of the following domains: NLP, forecasting algorithms, large scale optimization, and deep learning
The minimum requirements we seek:
Machine Learning Scientist (Entry Level) - Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Houston, TX, United States
Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)
Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
Experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Special Benefits You Will Love
Junior Machine Learning Scientist - Us/Canada
By Patterned Learning AI At Houston, TX, United States
Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)
Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
Experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Special Benefits You Will Love
Machine Learning Scientist - Natural Language Processing (Nlp) - Executive Director - Machine Learning Center Of Excellence
By JPMorgan Chase & Co. At New York, NY, United States
Required Qualifications, Capabilities, And Skills
Preferred Qualifications, Capabilities, And Skills
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Knowledge in search/ranking, Reinforcement Learning or Meta Learning
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
Machine Learning Scientist - Natural Language Processing (Nlp) - Vice President - Machine Learning Center Of Excellence
By JPMorgan Chase & Co. At New York, NY, United States
Required Qualifications, Capabilities, And Skills
Preferred Qualifications, Capabilities, And Skills
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Knowledge in search/ranking, Reinforcement Learning or Meta Learning
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
Data Scientist (Machine Learning)
By The Carlyle Group At Washington, DC, United States
3 ~ 6 years of experience in a data science or machine learning role, ideally within finance or private equity setting
Strong programming skills and hands-on experience with Python (Numpy, SCipy, Pandas, Sscikit-learn, etc..)
Experience in implementing and managing ML models in production, including validation, scaling, and monitoring
Strong problem-solving skills, data and statistical analysis skills
Excellent verbal and written communication skills
Experience with MLOps tools and practices (preferred)
Ai Machine Learning Scientist/Data Scientist
By AALPHA PRIME TECH GLOBAL At United States
Good Machine Learning foundations, practical experience with classification, regression and clustering methods
Exposure/experience in NLP is preferable, experience with Deep Learning methods is preferable
Strong python coding, computing fundamentals/data structures, SQL, experience with Hadoop stack
Experience leading end-to-end data science project implementation
Experience in the healthcare sector preferred
Strong Machine Learning foundations, practical experience with classification, regression and clustering methods
Machine Learning Scientist Jobs
By 24 Seven Talent At United States
Effective communication skills to convey technical concepts to both technical and non-technical audiences.
Experience with active learning, reinforcement learning, causal inference, and/or online learning approaches.
Knowledge of experimental design and Bayesian uncertainty estimation.
A deep passion for AI and a strong interest in building machine learning systems.
Proficiency in working with data using Python and SQL.
Familiarity with the entire ML stack, from initial research and development to model deployment in production environments.
Machine Learning Scientist (Entry Level)
By Patterned Learning AI At San Francisco, CA, United States
Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)
Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions.
Experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Special Benefits You Will Love
Senior Data Scientist / Machine Learning Expert - East Coast, Us
By BioLizard At Boston, MA, United States
3+ years of industry experience
Extensive experience in advanced data analytics and Machine Learning
Experience working with clinical data is a plus (patient diagnostics, clinical trials,...)
Software development skills are a plus
Knowledge or background in life sciences is considered an advantage
Fluent in English, with good communication skills
Machine Learning Scientist Iii
By Lytx, Inc. At San Diego, CA, United States

SCIENCE Lytx, Inc. seeks a Machine Learning Scientist III in San Diego, CA to develop & improve tools & workflows to optimize machine learning development & production pipelines. Reqs: ...

Are you passionate about using data to solve complex problems? Do you have a knack for developing innovative machine learning models? If so, we have the perfect job for you! We are looking for a Machine Learning Scientist to join our team and help us create cutting-edge solutions to challenging problems. As a Machine Learning Scientist, you will be responsible for developing and deploying machine learning models to improve our products and services. You will have the opportunity to work with a diverse team of experts and explore the latest technologies in the field. If you are excited about pushing the boundaries of machine learning, this is the job for you!

Overview A Machine Learning Scientist is a professional who uses advanced mathematical and statistical techniques to develop and implement machine learning algorithms. They are responsible for designing, testing, and deploying machine learning models to solve complex problems in a variety of industries. Detailed Job Description A Machine Learning Scientist is responsible for developing and deploying machine learning algorithms to solve complex problems. They must be able to identify and analyze data, develop and test machine learning models, and deploy them in production. They must also be able to communicate their findings to stakeholders and other team members. Job Skills Required
• Knowledge of machine learning algorithms and techniques
• Knowledge of programming languages such as Python, R, and Java
• Knowledge of data analysis and visualization tools
• Ability to identify and analyze data
• Ability to develop and test machine learning models
• Ability to deploy machine learning models in production
• Ability to communicate findings to stakeholders and other team members
Job Qualifications
• Bachelor’s degree in computer science, mathematics, or a related field
• Master’s degree in computer science, mathematics, or a related field
• Experience with machine learning algorithms and techniques
• Experience with programming languages such as Python, R, and Java
• Experience with data analysis and visualization tools
• Knowledge of statistics and probability
Job Knowledge
• Knowledge of machine learning algorithms and techniques
• Knowledge of programming languages such as Python, R, and Java
• Knowledge of data analysis and visualization tools
• Knowledge of statistics and probability
• Knowledge of software engineering principles
Job Experience
• Experience with machine learning algorithms and techniques
• Experience with programming languages such as Python, R, and Java
• Experience with data analysis and visualization tools
• Experience with software engineering principles
• Experience with deploying machine learning models in production
Job Responsibilities
• Identify and analyze data
• Develop and test machine learning models
• Deploy machine learning models in production
• Communicate findings to stakeholders and other team members
• Monitor and evaluate machine learning models
• Update machine learning models as needed