Machine Learning Scientist Job Description
Machine learning scientist
provides analysis and original model building via line code for extensions of ML to other servicing hurdles.
Machine Learning Scientist Duties & Responsibilities
To write an effective machine learning scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included machine learning scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
The internals of all AWS services
Design models for a variety of problems and data (text, media, users, graphs)
Deliver state-of-the-art models based on experimentation and optimization techniques
Build project prototypes for demo/validation purposes
Independently completes tasks and activities in a team environment
Ability to efficiently program in multiple programming languages such as Python, R, Java, Scala, Julia, and use libraries such as SK-learn and Keras
Application of domain-specific knowledge such as Cognitive Science, Physics, Social Science, Medicine, Linguistics or other analytical domains to advance data science research and its application to various U.S. agencies’ data problems
Identify needs and recommend solutions to drive the intended outcomes of the Cyber Analytics program
Perform exploratory data analysis and data mining on structured an unstructured cybersecurity data to identify malicious patterns of behavior and misuse cases
Research, and drive definition and development of analytics use-cases of various security data sources
Machine Learning Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Machine Learning Scientist
List any licenses or certifications required by the position: DAWIA
Education for Machine Learning Scientist
Typically a job would require a certain level of education.
Employers hiring for the machine learning scientist job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Statistics, Engineering, Electrical Engineering, Physics, Graduate, Science, Computer Sciences
Skills for Machine Learning Scientist
Desired skills for machine learning scientist include:
Relational databases
Common ML frameworks
Experience in building production quality and large scale deployment of applications related to machine learning
Statistics
AWS
Building products
Services
PyTorch
SciKit learn
Advanced statistical theories
Desired experience for machine learning scientist includes:
Experience with distributed machine learning and computing framework (Spark, Mahout or equivalent)
Expert algorithms and data structures background
Expert mathematical/statistical background
Product/Innovation driven personality
MS, or PhD in Computer Science/Machine Learning or equivalent work experience
Computational linguistics and human language technologies
Machine Learning Scientist Examples
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Machine Learning Scientist Job Description
Job Description Example
Our innovative and growing company is looking for a machine learning scientist. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for machine learning scientist
- Help lead the research and development of a local AI team, deliver practical robot AI components to be used within clinical operations processes
- Initiate and participate in technology conversations with distinguished scholars and industry leaders
- Build strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods
- Work with business leaders at the very highest level and communicate complex analytics concepts
- Inventory management and supply chain management for the Cloud
- Resource management and admission control for the Cloud
- Gather data required for analysis and mathematical model building by writing scripts and database queries
- Build on the knowledge of threat models and attack trees, provided by subject matter experts, to properly analyze structured and unstructured cybersecurity data and identify malicious patterns of behavior and misuse
- Baseline user behavior and identify anomalous activities
- Train and mentor junior employees when applicable
Qualifications for machine learning scientist
- 4+ years industry experience developing machine learning models at scale from inception to business impact
- Algorithm implementation experience the ability to modify standard algorithms
- Experience with large scale data analysis tools such as Spark, Hadoop
- Expertise in using Python, Java / C++, or other programming languages, ML toolkits such as scikit-learn, Theano, Tensorflow, Keras or similar machine learning tools
- 6 years advanced analytics experience including applied techniques in data mining, machine learning, and graph mining on big data sets
- Deep knowledge of analytical methodologies (e.g., machine learning, statistical modeling, predictive analytics, information retrieval, graph analytics)
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Machine Learning Scientist Job Description
Job Description Example
Our company is growing rapidly and is looking for a machine learning scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for machine learning scientist
- Provide technical and psychometric consultation to schools in piloting these new products and services with school and district partners
- Promotes the process, outcomes and results
- Participates in the enterprise-wide and domain’s architecture Governance process
- Asses near-term needs to establish business priorities
- Supports the development of software and data delivery platforms with reusable components that can be orchestrated together into different methods for different business
- Support various business partners on a wide range of analytics projects from ad-hoc requests to large-scale cross-functional engagements
- Design and execute data analysis strategies to support research projects involving multimodal cancer datasets
- Develop new methodologies for predictive modeling of high-dimensional genomic data
- Explore novel data representation modes with emphasis on integrating diverse data types
- Present results to a broad range of non-computational staff
Qualifications for machine learning scientist
- Skills with Java, C++ (or other high-level programming language) R, MATLABm Python (or similar scripting language)
- Passion for learning (new problem domains, algorithms, tools, ) and for analyzing data
- Experience with data visualization tools such as Tableau, PowerBI
- Ability to work in a small team in a highly visible role
- Hands-on experience with large-scale real-time machine learning/AI
- Preferred pharmaceutical experience in leading research projects and teams
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Machine Learning Scientist Job Description
Job Description Example
Our growing company is hiring for a machine learning scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for machine learning scientist
- Experience solving problems using quantitative approaches on real-world data
- A record of quality publications, in peer reviewed journals or conferences
- Ability to think creatively, to work collaboratively and to perform tasks under minimal supervision
- Ability & willingness to incorporate novel ideas and approaches into scientific investigations
- Build scalable, stable, and efficient applications to collect, organize, manipulate, analyze and present information from large structured and unstructured datasets
- Design, code, and validate software in a collaborative environment
- Conceptualize, plan, and carry out research drawing upon psychometrics, curricular design, and data science to advance the field of digital teaching, assessment, and learning
- Analyze the resulting data and work with team members to create reports that provide actionable information to help improve student learning
- Contribute to the assessment community via professional presentations or publications related to the research program
- Collaborate effectively with developers, program management, and internal customers on objectives, requirements and design constraints in a distributed development environment
Qualifications for machine learning scientist
- 3+ years in Advanced Analytics (AI, Graph Theory, Numerical Analysis)
- PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
- Ability to make the right trade-offs between schedule, resources and scope in order to deliver on a project
- Demonstrated experience with deep learning in the TensorFlow framework --Experience building TensorFlow apps that utilize multiple GPUs --Proficiency in working with large datasets --Experience coding in Python --Strong communication skills
- High motivation to achieve ambitious goals in a short time
- Experience tackling problems involving Big Data, , using the Spark/Hadoop stack
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Machine Learning Scientist Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of machine learning scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for machine learning scientist
- Contributing pro-actively to a creative and inspiring working environment
- Performs as the subject matter expert for the specified functional area and may become actively involved, as required, to meet schedules and resolve problems highly complex in nature
- Develops highly complex programs that establish and enhance standards
- Debug and correct your data assumptions through AB testing
- Quickly iterating and improving new models from concept phase through multiple rounds of improvement
- Transitioning successful projects to the core Data Science organization for scaling and commercialization
- Working closely with the head of the Innovation Lab and the Product lead to build personalized, relevant predictions and insights about consumers, retailers, and brands
- Helping turn those insights and predictions into products and capabilities that can transform the company
- Capture and manipulate large volumes of data
- Communicate results in a comprehensible manner to all levels of the company (field teams up to Snr
Qualifications for machine learning scientist
- Embedded systems and applications
- Ability to represent the company in a range of venues, including technical conferences, national laboratories, and test venues
- Ability to compose and edit high-quality technical documentation, correspondence, and literature
- Ability to elicit and manage contributions from various technical colleagues at different sites and locations including overseas travel when necessary
- Must have solid experience with machine learning
- Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realized in practice
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Machine Learning Scientist Job Description
Job Description Example
Our innovative and growing company is looking for a machine learning scientist. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for machine learning scientist
- Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders
- Drive best practices on the team
- In close collaboration with management, lead the development of a strategic R&D roadmap in the area of Neural Machine Translation by identifying and prioritizing high-value R&D projects that lead to major breakthroughs in the capabilities of state-of-the art Neural MT systems
- Design, scope, and drive implementation of data-driven models and programs to improve the quality and conversion rates of online and offline marketing to existing customers
- Create predictive models based on the online and offline customer journey
- Work with Financial Analyst to create and track e-Business conversion key metrics
- Work with Financial Analyst to generate prescriptive reporting based on models
- Program dashboards to present key metrics across various departments in the company
- Help drive the new models in security, policy of Alexa skills
- Utilize various metrics sources to deliver rapid iterations of ML models
Qualifications for machine learning scientist
- Familiarity with several machine learning algorithms and packages
- Experience with Unix/Linux, HPC environments, and high-level programming language
- Prefers team oriented, collaborative work environments
- Fast learner, analytical thinker, creative, "hands-on", team-player
- Experience in mathematical modeling of real-world data is preferred
- Strong communication skills and an ability to apply those skills effectively across disciplines