Learning Scientist Job Description
Learning scientist
provides usability-enhancement for deep learning, large scale graph computing, and machine learning, such as generic/domain-specific visualization and key algorithm acceleration.
Learning Scientist Duties & Responsibilities
To write an effective learning scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included learning scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Prototype these models by using software languages such as Python or sometimes high-level modeling languages such as MATLAB or R
Perform predictive modeling using machine learning techniques including aspects of data sourcing, data cleaning, data transformation, feature extraction/generation, model tuning, model selection, model evaluation and production deployment
Keep up to date with latest trends in machine learning, artificial intelligence, big data mining and solutions
Develop data analysis, aggregation and machine learning algorithms
Operate third party technologies to analyze security data and identify threats and misuse cases, and evaluate capabilities of those technologies
Contribute to successful completion of projects by identifying risks and developing / recommending mitigation strategies
Responsible for system-driven analysis of both structured and unstructured data
Develop and implement predictive models and performs statistical analysis of data
Interpret larger organizational needs and designing algorithmic solutions that will drive the intended business output
Support the influence and impact across the enterprise in promoting the Cyber Analytics strategic direction across the enterprise
Learning Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Learning Scientist
List any licenses or certifications required by the position: DAWIA
Education for Learning Scientist
Typically a job would require a certain level of education.
Employers hiring for the 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, Electrical Engineering, Engineering, Graduate, Physics, Science, Computer Sciences
Skills for Learning Scientist
Desired skills for 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
Machine learning
Services
PyTorch
Python
Desired experience for learning scientist includes:
3 years of experience in functional and object-oriented programming (e.g., C++, Java)
2-3 years of post-PhD research experience in of the areas mentioned above
Minimum 7 years of experience in functional and object-oriented programming (e.g., C++, Java)
Exposure to full life cycle of software development
Independence, versatility, exceptional ability and desire to solve any problem correctly and pragmatically (“if it needs doing, I am going to get it done right and fast
Masters or PhD in quantitative field
Learning Scientist Examples
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Learning Scientist Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of 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 learning scientist
- Experience in AWS, Azure, or other cloud ecosystems
- Developing and implementing advanced analytics approaches including statistical modelling, machine learning algorithms, text mining, web analytics to answer business questions and drive actionable insights
- Contribute to one of the most advanced machine learning frameworks for self-driving cars
- Design and refine deep neural networks and other machine learning algorithms
- A doctorate or equivalent research experience in a relevant discipline area, such as statistical machine learning, distributed learning, cryptography, differential privacy and algorithmic data protection, computer vision
- Experience with or proven track record of implementing machine learning algorithms
- Conducts data analyses with the appropriate statistical approach (regressions, linear and non-linear correlation, entropy, t-test, F-test)
- Identifies the needed data, their underlying structure (distribution, variable independence, outliers, ), and treatment of missing value
- Is an expert in ML
- Collaborate with internal resources to gather, curate and build data sets needed to successfully construct the targeting mechanism and evolve the program for continuous improvement
Qualifications for learning scientist
- Experience with Spark, Hadoop, and Hive
- Experience with imaging processing preferred, but not required
- Proficiency in an object-orientated programming language (C++, Java, C#, C, Perl/Ruby)
- Proficiency with mathematical programming environments (R, Matlab, Numpy/Scipy, SAS)
- U.S. Citizenship (This is an absolute requirement, no exceptions
- Experience in cyber security or IP networking is a plus
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Learning Scientist Job Description
Job Description Example
Our growing company is looking for a 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 learning scientist
- Provide innovative solutions for the business (e.g., by translating complex commercial problems to Machine Learning problems)
- Design, implement, and analyze online experiments, including A/A and A/B testing, in a variety of configuration environments
- Experience in Hadoop, Spark, Storm or related paradigms and associated languages such as Pig, Hive, Mahout
- Experience in working with GPU accelerated environments, or CUDA programming
- Familiarity with Elasticsearch, Soir, or Lucene
- Published work in academic conferences or industry circles
- Support the analytical needs of the team inclusive of routine reporting, ad-hoc, statistical inference, predictive modeling and simulation
- Maintain and improve our system for gauging sales and supporting teams effectiveness
- Ensure that the quality and timeliness of analytic deliverables to meet and exceed the Sales Strategy & Operations team expectations
- Work closely with engineers to develop and train the world's best neural networks
Qualifications for learning scientist
- Transfer business problems into analytics use cases and requirements
- The freedom to use your talent and background to help us make noise in the industry quickly
- Ability to artiulate complex concepts, develop prototypes and invent scalable solutions
- Verbal and written communications skills, the ability to work effectively across internal and external organizations
- Proficiency in of programming languages
- Fluency in a software programming language such as Python, Java, C++
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Learning Scientist Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of 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 learning scientist
- Design, build and implement Deep Learning models for Think Big Analytics customers
- Communicating complex analytical and technical concepts to a business audience
- Evaluating and differentiating techniques, tools and approaches to Deep Learning problems
- Responsible for staying current in all areas of Deep learning including research, applications, and sharing expertise at industry conferences
- Supporting asset development, including providing field experience back to product development teams
- Support and mentor junior members of the team in Data Science techniques
- Execute work related to pedagogical model of the future
- Author and/or edit scholarly publications (e.g., journal articles), informational publications (e.g., news articles), technical documentation (e.g., software manuals) on learning science
- Perform other duties not outlined above, at the discretion of the ADL Initiative leadership
- Conducting and documenting theoretical or experimental investigations as part of a team working on maritime research problems in support of the Programme of Work
Qualifications for learning scientist
- Sequence-to-sequence models --Natural language processing --Amazon Web Services and/or Google Cloud --Familiarity with PHP, MySQL or other SQL databases, and R
- 2+ years of Experience in of the commonly used parallel/distributed systems/technologies (Apache Hadoop, Apache Spark, MPI, CUDA, ...)
- Fluency in a high-level modeling language such as MATLAB, R, Stata
- R&D background in machine learning
- Fluency in Python
- Experience with common data analysis tools, such as Pandas / Jupyther
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Learning Scientist Job Description
Job Description Example
Our growing company is looking to fill the role of 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 learning scientist
- Develop framework and platform for mass-training of advanced models
- Evaluate emerging technologies for server and client model evaluation, frameworks, platforms
- Combine your love and knowledge of quantitative data analysis across large data sets with solid presentation skills
- Collaborate with domain experts in developing a framework for modeling student achievement and growth within the context of classroom instruction
- Collect, compile, analyze, and report data from various data sources, including a large data warehouse
- Contribute data analyses to product prototypes, internal reports, case studies, white papers, educational research
- Support the content and product teams as a subject matter expert in Science education, occasionally representing the company to current and potential customers
- You are able to debug and correct your data assumption through AB testing
- Collaborate extensively with internal partners, program management, and software development team members to ensure that solution excellence
- Build quick Proof of Concepts (POC) and project ownership around projects that can demonstrate utilization, value and lead to scalable solutions
Qualifications for learning scientist
- Proficiency in of programming languages JAVA, C++, C, R
- 3+ years of hands-on working experience with varied and complex data sets
- Ability to traverse big picture finer details
- Ability to understand business processes and outcomes (some level of knowledge of investing preferred, but generalized business acumen will do)
- Fact-driven, even-keeled, curious, strong attention to detail
- Experience with R, Spark, or Scala
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Learning Scientist Job Description
Job Description Example
Our company is growing rapidly and is hiring for a 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 learning scientist
- Close contact to the scientific Machine Learning community, scouting and assessment of new approaches
- Employ the best of Deep Learning research for solving business problems
- Solve difficult problems with elegant and practical user data
- Raise the bar on quality, consistency, maintainability, efficiency, security and all the other things that make great predictions
- Defining, deploying and institutionalizing functional area research approaches and related knowledge basis
- Shares complex information related to areas of expertise and/or to gain acceptance of new or enhanced business solutions
- Collaborate in the deployment of these models
- Collaboratively present proposed models and approaches to Community Care Behavioral Health stakeholders
- Implement and deploy models predicting individual-member change in outcome based on change in modifiable risk factors
- Implement and optimize deep learning models using state-of-the-art software
Qualifications for learning scientist
- Experience with state-of-the-art techniques in machine learning algorithms, including object recognition, image processing, deep neural networks, NLP, kernal methods, dimensionality reduction, ensemble methods, graph algorithms, and hidden Markov models
- Strong analytical skills and comfortable work with large data sets and ability to transform data into actionable insights
- Strong programming skills in at least one language such as Python, Java, Scala, C++, Julia
- Experience in deep learning frameworks such as Tensorflow, Torch, Theano and Caffe
- Experience with unstructured & semi-structured data sources and requisite processing tools
- A PhD in Computer Science, Engineering, Math, Statistics, Physics, or a related quantitative discipline (or equivalent experience)