Scientist Machine Learning Job Description
Scientist machine learning
provides guidance and collaborate with engineers and product managers on natural language processing, machine learning, and engineering.
Scientist Machine Learning Duties & Responsibilities
To write an effective scientist machine learning job description, begin by listing detailed duties, responsibilities and expectations. We have included scientist machine learning job description templates that you can modify and use.
Sample responsibilities for this position include:
Build new and enhance existing machine learning platforms using Machine Learning and Natural Language Processing technologies
Work with cybersecurity security experts to develop machine learning algorithms in order to identify complex threat scenarios
Develop algorithms to support the activities described above and prototype the algorithms for execution in Hadoop environment
Apply machine learning techniques and approaches rooted in statistical learning theory to enable predictive modelling capabilities required for the identification of complex threat scenarios
Write codes and develop software to implement the algorithms, just described, in Hadoop ecosystem
Prototype machine learning models by using high-level modeling languages such as R or in software languages such as Python
Work with the team to create new deep learning and ML algorithms and applications
Develop new systems using latest advances in neural networks and machine learning
Participate in cutting edge research and prototyping, including computer vision, machine learning, modeling and other relevant areas
Help develop software and algorithms for sensors and tracking systems
Scientist Machine Learning Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Scientist Machine Learning
List any licenses or certifications required by the position: DAWIA
Education for Scientist Machine Learning
Typically a job would require a certain level of education.
Employers hiring for the scientist machine learning 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 Scientist Machine Learning
Desired skills for scientist machine learning include:
Machine learning
Statistics
Application areas
Natural language processing
Common machine learning frameworks
Machine learning theory and practice
Spark
Pandas
Algorithms
Measurement
Desired experience for scientist machine learning includes:
5+ years of relevant industry/academia experience in software development and full product life-cycles
Proficiency in at least one object oriented programming language Java/C#/C++
Experience with big data technologies such as Hadoop, MapReduce, Mahout, Hive, Pig
Familiarity with at least one scripting language Python, Perl, or Ruby
Experience with algorithm development involving real-world noisy data
Experience with statistical software R, MatLab, or WEKA
Scientist Machine Learning Examples
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Scientist Machine Learning Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of scientist machine learning. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for scientist machine learning
- Participates in domain technical and business discussions relative machine learning
- Work independently or collaboratively throughout the complete analytics project lifecycle including data extraction/preparation, design and implementation of scalable machine learning analysis and solutions, and documentation of results
- Work with central economics, machine learning, data engineering, sales operations, finance and other analytics team to ensure the most efficient and effective allocation of resources to tackle our team's agenda
- Document, implement, test, and benchmark solutions to big data analytics problems
- Work closely with cross-functional teams to design, test, and use new product features
- Help develop a more formal strategy for the use of cognitive systems
- Serve as a though leader and subject matter expert in cognitive/AI area of knowledge, developing internal and external eminence and intellectual property, leading senior executives to successfully define, develop and launch new cognitive systems
- Develop software and hardware solutions top enhance our Artificial Intelligence functionality
- Board vision of industry competitiveness and robotics trends to quickly integrate related technologies and demonstrate applications
- Define and drive the analytical scope and method for projects, including formulating and shaping the models
Qualifications for scientist machine learning
- Forecasting and prediction
- Experiment design and hypothesis testing
- Strong programming skills with at least one object oriented language
- 1+ years of experience in using statistical analysis software packages
- Experience with large scale database and data warehousing systems
- Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python)
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Scientist Machine Learning Job Description
Job Description Example
Our company is growing rapidly and is looking for a scientist machine learning. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for scientist machine learning
- Work with cross-functional team members to identify and prioritize actionable, high-impact data insights across a variety of core business areas
- Acts as internal consultant, advocate, mentor and change agent
- Collaborate and communicate with software developers in the translation of research model to production code
- Collaborate and communicate with data integration teams when data quality issues are discovered
- Maintains appropriate knowledge of clinical systems used across veterinary healthcare industry
- Assist with the transfer of research prototypes into production
- Be able to balance speed vs
- Work closely with the Growth, Merchandising, and Development teams to brainstorm on functional and technical solutions
- Be an advocate for data science and educate stakeholders on how it can be used to solve problems, deepen insights, and inform business decisions
- Aligns strategy with business requirements
Qualifications for scientist machine learning
- 3+ years experience with R, other statistical packages a plus (Python, SAS, SPSS, MatLab)
- Advanced degree in a quantitative field (e.g., Statistics, Engineering, Mathematics, Physics)
- Experience in of the commonly used parallel/distributed systems/technologies (Apache Hadoop, Apache Spark, MPI, CUDA, ...) is a strong plus
- Skilled with Java, C++, or other programming language, with R, MATLAB, Python or similar scripting language
- Knowledge of natural language processing techniques and neural networks
- Strong programming skills in at least one object oriented programming language (Java, Scala, C++, Python, R)
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Scientist Machine Learning Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of scientist machine learning. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for scientist machine learning
- Stay on top of the state of the art by reading research papers and visiting conferences
- Spread your knowledge among other team members
- Work in a multi-disciplined team where you take ownership of the modelling part of turning data into customer experience improvements
- Collaborate closely with computer vision scientists and hardware teams to develop planning systems for autonomous robots
- Interact with teammates in variety of roles to accomplish your goals
- Recruit, hire and develop other applied scientists
- Produce high quality scientific and/or engineering artefacts (e.g., papers, patents, code, and demos) suitable for publication in leading national and international venues
- Build elegant, efficient and readable code
- Advise policy makers and inform and transfer knowledge to non-scientific audiences
- Introduce new directions and approaches
Qualifications for scientist machine learning
- Ability to distill problem definitions, models, and constraints from informal business
- Working knowledge of machine-learning tools (Tensorflow, Caffe, MLpack)
- Experience with large data applications and tools
- Prior experience with GPU programming
- Experience in using statistical analysis software packages
- Demonstrated knowledge with cloud-infrastructures and configuration management tools
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Scientist Machine Learning Job Description
Job Description Example
Our company is growing rapidly and is looking to fill the role of scientist machine learning. 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 scientist machine learning
- Research and develop advances to core AI/Machine Learning algorithms
- Act as a point of contact and machine learning leader for the business
- You can articulate and understand a business problem, identify the key challenges, formulate the machine learning problem and provide/prototype solutions
- Develop AI/machine learning solutions targeted towards disruptive opportunities for LG business, based on perception, computer vision, speech, audio, cyber physical systems
- Develop algorithms related to pricing and costs
- Develop models and algorithms to learn the recommended size of heating and air conditioning systems based on Postgres database containing house orientation, age, wall-to-area ratios, location, and other characteristics
- Work with outsourced e-commerce developers and in-house application developers to utilize derived algorithms
- Responsibilities will center on developing innovative technologies and exploring their application to a range of real-world problems
- Scout for new technologies by visiting conferences, universities, vendors and monitor the literature and Internet sources
- Explore, experiment and pilot in internal concept creation projects
Qualifications for scientist machine learning
- Strong implementation skills in Java, C++ (or other high-level programming language) Python or similar scripting languages
- Masters or PhD degree in Applied Mathematics, Physics, Software Engineering, Computer Engineering, Electrical Engineering, Mechatronics/Systems Engineering, Engineering Physics, Econometrics, Financial Engineering, Financial Risk Management, or equivalent
- If holding a Graduate Degree in Econometrics, or quantitate Financial domain then Bachelor’s Degree in Physics or the above mentioned Engineering disciplines is required
- 3+ years proven experience as a data scientist, machine learning engineer or equivalent experience
- High power (utility scale) bi-directional converter knowledge
- PV and Grid Tie Energy Storage system architecture / application knowledge
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Scientist Machine Learning Job Description
Job Description Example
Our growing company is hiring for a scientist machine learning. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for scientist machine learning
- Developing robust and generalizable inference algorithms that advance the state-of-the-art
- You will be developing state of the art algorithms to power various aspects of highly complex business models
- You can articulate and understand a business problem, identify challenges, formulate the machine learning problem and provide/prototype solutions
- You will provide technical leadership, identify and understand key business challenges and opportunities, and develop end-to-end software solutions using machine learning and optimization methods
- Coordinating with fellow data scientists from the Ford community in Dearborn, MI, Palo Alto, CA, Chennai, India, and Aachen, Germany
- Actively participate in the research and academic community by disseminating novel results in top conferences and journals
- Stay up-to-date on developments in the field and propose long term capability buildup
- Collaborate with other R&D groups business units within LG (around AI) while maintaining clear differentiation and value in our specific offerings, and leading the path of innovative value driven AI solutions
- Leverage experience with systems, and application development to realize products/offerings in multi-disciplinary settings
- Process and analyze sales data
Qualifications for scientist machine learning
- Previous experience with statistical and/or Machine Learning modeling is a huge plus, Maximum Entropy Modeling
- 2+ years (Master’s Degree) or PhD experience
- PhD in a relevant technical field is required
- Training in biology, especially molecular biology and bioinformatics, is strongly desired
- Demonstrated experience in data curation, data mining and an ability to interrogate, interpret, and visualize large and diverse, biological datasets
- Proficient with data visualization techniques, including via web interfaces