Senior Machine Learning Scientist Job Description
Senior machine learning scientist
provides subject Matter Expertise support to the PM in areas including computer science, mathematics, statistics, cybersecurity, big data analytics, and machine learning.
Senior Machine Learning Scientist Duties & Responsibilities
To write an effective senior machine learning scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included senior machine learning scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Lead projects in machine learning, data mining, natural language processing, signal processing, sensors and electronics, probabilistic inference, and/or computational statistics
Explore and visualize the data using tools such as Python modules including pandas, matplotlib and Seaborn, Tableau, and Looker
Join a world-class team of machine learning researchers with an extensive track record in both academia and industry
Bring a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve user experience
Learn, develop, and apply new techniques in the intersection of math, probability, and optimization
Translate unstructured, complex business problems into an abstract mathematical framework, making intelligent approximations when needed to put your algorithm to work at scale
Work closely with various product development engineering teams to solve key personalization, discovery and search problems
Interact with and report to an audience that includes Directors, Vice-Presidents and the Chief Product Officer
Collaborate with a team of chemists, physicists and engineers on both theoretical and practical projects that will use his/her scientific, mathematical and computational skills to drive new-to-the-world technology development and introduction
Developing algorithms to challenge the state-of the art in Machine Learning for healthcare
Senior Machine Learning Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Senior Machine Learning Scientist
List any licenses or certifications required by the position: DAWIA
Education for Senior Machine Learning Scientist
Typically a job would require a certain level of education.
Employers hiring for the senior 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, Machine Learning, Statistics, Mathematics, Engineering, Technical, Physics, Science, Electrical Engineering, Graduate
Skills for Senior Machine Learning Scientist
Desired skills for senior machine learning scientist include:
Statistics
Text analytics and machine learning methods and strategies
Fundamentals
Python
AWS
Advanced concepts of Machine Learning and the SoA
Building products
Coding proficiency using related open source libraries and frameworks
For example Spark
Machine learning frameworks and tooling
Desired experience for senior machine learning scientist includes:
Knowledge of Boost or similar libraries a plus
How do we leverage our data to choose a small, relevant, and diverse subset of titles from our extensive catalog to present to each user? And how do we do this in half a second or less each time…
How do we promote our new original movies to new users in different countries and also dynamically adapt our recommendations online based on realtime user feedback?
Strong background in machine learning using unsupervised and supervised methods
Experience with contextual bandits, computational advertising, online learning, reinforcement learning, causal learning and/or deep learning would be a plus
Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning
Senior Machine Learning Scientist Examples
1
Senior Machine Learning Scientist Job Description
Job Description Example
Our growing company is hiring for a senior 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 senior machine learning scientist
- Developing models for multi-model learning with physiological data, molecular data, and medical imaging
- Collaborate with product teams to develop new IP and micro-architectures
- Report and present experimental results and research findings to key partners around the company
- Publish the results of your research to provide to the overall progress of our field
- Build machine learning models that will become core components driving our marketplace
- Dive deep into the data and share your insights across the business
- Collaborate with operations and engineering teams on key initiatives
- Work with freelancer engineers, analysts and data scientists from around the world
- Produce high quality scientific and/or engineering papers suitable for publication in top ranked venues (journals, conferences)
- Collaborating with research and engineering teams to solve machine learning problems on graphs
Qualifications for senior machine learning scientist
- Undergraduate degree in computer science, software engineering or undergraduate degree in numerical discipline
- Experience with of C++, Java, Scala, C#
- Experience in building speech recognition and natural language processing systems
- 2+ Years of industry design and development experiences in C#/C++/Java
- Familiarity with virtualization and Software Defined Networking (SDN)
- Strong and up-to-date theoretical and practical knowledge of machine learning, AI and analytical algorithms, and strong and up-to-date software skills
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Senior Machine Learning Scientist Job Description
Job Description Example
Our company is growing rapidly and is looking for a senior machine learning scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for senior machine learning scientist
- Lead partner interviews, brainstorming sessions and workshops to capture business objectives and prioritize opportunities
- Will oversee operating budget for a research project
- Translate business objectives into high quality analytical and machine learning-based end-to-end solutions that are innovative and drive real business outcomes
- Lead in the design, development, and implementation of innovative machine learning and analytical solutions and build roadmaps for business transformation
- Obtain data from internal sources using state of the art big-data tools such as Teradata and Hive
- Combine and Augment the Data with data from external sources
- Build models using state of the art machine learning methods such as Cloudera’s Data Science Workbench and Data Robot
- Evaluate the results using performance metrics
- Interpret, visualize, and present the results to stakeholders
- Work with data engineers to deploy the models
Qualifications for senior machine learning scientist
- Familiarity with Agile development process, continuous integration, big data, networking and SDN, natural language processing, and distributed processing technologies
- You will work on research and development projects in the specialist field of medical image processing, focusing in particular on machine learning
- Your tasks will also include preparing applications for funding, drawing up invention disclosures, and publishing articles in high-ranking specialist magazines giving presentations at conferences
- Eagerness to learn and willingness to start on new topics in other domains
- Strong knowledge in Machine Learning or Data Analytics
- Excellent communication skills and team player attitude
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Senior Machine Learning Scientist Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of senior 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 senior machine learning scientist
- Work with Business users to understand their use cases, understand the data and recommend the right tool for analytics on big data
- Research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems
- Build tools and support structures needed to analyze data, perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices
- Work with development teams & business groups to ensure models can be implemented as part of a delivered solution replicable across many clients
- Present findings to stakeholders to drive improvements and solutions from concept through to delivery
- Leverage and organize data model, with marketing data, from various omni-channel sources, including internal platforms, media partners, agencies, store and online transaction data, and other third party sources
- Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization
- Build AB and Multivariate testing framework to support a robust learning agenda and provide ongoing behavioral feedback to constantly improve performance
- Implement machine learning and artificial intelligence models to improve conversion rates and campaign effectiveness, and work with engineering to implement algorithm optimization
- Build funnels to better understand customer behavior and leverage them to improve conversion rates
Qualifications for senior machine learning scientist
- Willingness to contribute to industrial software development projects
- Knowledge of distributed systems is a plus
- Proven track record of getting ideas from concept to prototype
- Excellent command (written & oral) of the English language
- Strong experience in Java (or C++) and a scripting language
- Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, or Mathematics with specialization in machine learning
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Senior Machine Learning Scientist Job Description
Job Description Example
Our growing company is searching for experienced candidates for the position of senior 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 senior machine learning scientist
- Drive deep customer analysis with focus on predicting and improving customer LTV
- Drive models that focus on incrementally and profit margin growth
- Lead segmentation analysis and testing to better serve the customer in more relevant ways
- Support both MMM and MTA measurement models (Traditional Marketing Mix Multi Touch Attribution), and educate the organization when each should leverage, depending upon business goal and desired insight
- Lead ad-hoc analysis and present results in a clear manner
- Develop machine learning models to apply test data algorithms to future data
- Lead project teams to develop innovative solutions to drive innovative business solutions
- Lead the implementation of data modeling solutions
- Provide guidance to cross-functional leadership regarding data modeling possibilities
- Review business strategies to ensure alignment across initiatives
Qualifications for senior machine learning scientist
- Familiarity with recent advances in deep learning (convolutional neural networks, recurrent neural networks, reinforcement learning, generative adversarial networks, memory networks )
- Peer-reviewed publications in computational chemistry and/or chemical physics
- Experience using modern machine learning methods including Random Forest, Support Vector Machines, and/or Deep Learning
- Experience developing empirical scoring functions for predicting protein-ligand complex geometries and binding affinities
- MS/PhD in Computer Science, Electrical Engineering, Applied Mathematics, or Mathematics from an accredited university augmented with an undergraduate degree or minor in chemistry, physics, mechanical or chemical engineering
- 1+ years of computer vision and image processing experience in academia, industry or national lab environment
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Senior Machine Learning Scientist Job Description
Job Description Example
Our growing company is looking for a senior 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 senior machine learning scientist
- Translate business needs into data modeling initiatives
- The Machine Learning Senior Research Scientist will work with internal business division partners and clients to identify areas where machine learning and analytics will lead to innovative, technology-driven services and lead projects to deliver these technologies
- Lead the implementation of research investigations and construction of data products employing statistical and/or machine learning approaches
- Translate research questions or product requirements into actionable work
- Collaborate within cross-disciplinary research teams including business-facing leaders and expert domain scientists
- Provide recommendations and guidance to project leads based on insights gleaned from data
- Communicate effectively and clearly to a range of audiences, from domain scientists to business professionals
- Analytical, articulate, inquisitive, and insightful
- A passion for problem solving using data and analytics
- Potential audience sizes for a specific content and how that prediction should inform its valuation and other major business decisions
Qualifications for senior machine learning scientist
- Fluency in modern programming languages such as Java, C# or C++
- Experience applying machine learning in an industry setting
- Strong coding ability
- Hunger to continue developing as a data scientist
- Appreciation of good design in both software UI and slideshow presentations
- Past success partnering with engineering and business teams