Senior Applied Scientist Job Description
Senior Applied Scientist Duties & Responsibilities
To write an effective senior applied scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included senior applied scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Senior Applied Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Senior Applied Scientist
List any licenses or certifications required by the position: JTA, AWS
Education for Senior Applied Scientist
Typically a job would require a certain level of education.
Employers hiring for the senior applied 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, Engineering, Machine Learning, Mathematics, Physics, Statistics, Applied Statistics, Electrical Engineering, Intelligence, Economics
Skills for Senior Applied Scientist
Desired skills for senior applied scientist include:
Desired experience for senior applied scientist includes:
Senior Applied Scientist Examples
Senior Applied Scientist Job Description
- Build and maintain data pipelines and products using the Python scipy stack (numpy, scikit-learn, pandas )
- Analyse internal and external data sets using data analysis tools including Python and Jupyter Notebooks
- Develop machine learning algorithms and models which can be applied to automate product reference data content transformation, product attribute derivation and anomaly detection
- Develop innovative computational methods while partnering in development of a real world – integrated – evidence strategy
- Provide statistical and modeling support for planning and implementing clinical and real world evidence studies/programs to meet the value/evidence needs of payers, health systems, clinicians, and patients
- Provide solutions of clinical and economic utility by leveraging internal, external and real world data sources
- Guide evidence based product development (digital/non-digital) by extracting therapeutic intelligence from such data sources
- Investigating and solving speech recognition accuracy issues across all processing chains including model development, test and quality control, deployment and user feedback stages
- Identify opportunities to improve our products and services
- Work closely with software engineering teams to implement scalable algorithms and deploy models
- Background in an application field (biology, sensors, retail, education, ) is a plus
- Must have 3-5 years of relevant experience analyzing multi-omics data
- Must have experience applying knowledge-based or data-driven methods for data interpretation
- Master’s Degree in related field, PhD preferred
- Recognized as an industry leader in the fields of natural language processing, personalization, information extraction and semantic analysis
- Familiarity with standard artificial intelligence and machine learning techniques, scientific thinking, and the ability to invent
Senior Applied Scientist Job Description
- Collaborate closely with Analytics, Engineering and Experimentation teams by demonstrating cross-functional resource interaction to deliver ML models
- Mentoring team members and research interns
- Work independently and collaboratively with other research
- Seek and identify new impactful areas for exploration and investigation
- Collaborate with stakeholders to frame problem statements clearly
- Collaborate with subject matter experts and data scientists to inform your investigative approach
- Perform deep-dives to analyze data and bring context to bear with data
- Influence stakeholders and leadership on courses of action based on your findings
- Enhance model training and data collection tooling and infrastructure
- Suggest, specify, and prototype original components and drive their productizing
- 3+ years of experience working with languages Python, R
- Graduate degree (Masters or PhD) in computer science, computational linguistics, or a related field
- Knowledge of a relevant field of research, such as machine learning, statistical modeling, natural language understanding, machine translation
- Explicit (industry or academic) experience with natural language understanding and/or dialogue management
- Be an active member of a software development team
- Maintain an understanding of industry and technology trends in said area of research
Senior Applied Scientist Job Description
- Improving metrics, feedback systems and reinforcement learning techniques
- Staying current on technology trends and scientific developments in relevant areas inside and outside of the company, including attending academic and industrial conferences
- Developing solutions for real world, large scale problems
- Thinking creatively, and proactively and in a self-driven manner to solve existing problems and identify new opportunities
- Work with internal stakeholders to understand operational processes and requirements and translate into data driven solutions
- Build production-ready data pipelines and data products which can be integrated into line of business applications using APIs
- Document results and explain solutions to stakeholders across the business
- Model, analyze, and predict the performance of our global CDN
- Develop content distribution algorithms to maximize video quality of experience
- Partner closely and cross-functionally with Open Connect engineering teams, data engineers, adaptive streaming and encoding engineers, and financial analysts to drive high-impact results
- Recognize and help hire top talent in your field
- Mentor others in achieving their career growth potential
- Drive an independent research agenda that is well-aligned with business needs
- Master degree in Computer Science, Electrical Engineering or a related field
- PhD in Computer Science with focus on Machine Learning or related areas
- Minimum of 3 years of experience with optimization, planning, decision making, and control
Senior Applied Scientist Job Description
- Participate in the design, development, evaluation, deployment of data-driven machine-learned (ML) models targeting NLU and ER applications
- Develop and apply statistical modeling techniques
- Research and implement novel ML and statistical approaches to add value to the business
- Carry out research on the principles and mechanisms covering air purification, sensing, signal processing, and data analysis
- Define and provide technical leadership for research projects covering air sensing to deliver meaningful improvements for consumers
- Responsible for executing research projects and defining the approach
- Contribute to short-term (<2 years) research roadmaps and technology platforms and mid-term (2-4 years) expectations on developments for the targeted applications and domains
- Responsible for maintaining and updating the personal knowledge in his/her area of expertise
- Carry out research on the principles and mechanisms covering sensing, sensor network, IOT, signal processing, and data analysis
- Define and provide technical leadership for research projects covering sensing for multiple technical domains kitchen appliance, air quality sensing, personal care to deliver meaningful improvements for consumers
- Minimum of 3 years of experience with distributed agents
- Minimum of 3 years of experience with C/C++, C# or Python to build proof-of-concept
- Master’s Degree in Computer Science with a concentration in Computer Vision, Computer Graphics or Machine Learning
- 2+ years of experience with tools such as CNTK or TensorFlow
- 2+ years of experience with Matlab, OpenCV or OpenGL
- 5+ years of experience with C++, C# or other OO language
Senior Applied Scientist Job Description
- Regularly deliver well-crafted insight packages in a form that’s easy to understand and actionable by the business
- Deliver accurate and timely standardized reporting and analysis in support of ongoing business reviews and planning processes
- Lead the development and management of metrics, KPIs, and dashboards
- Manage vendor workloads and ensure quality delivery on a timely basis
- Design and develop innovative solutions to ensure maximum impact in the data platform space of Visual Studio product line
- Communicates well with technical and non-technical audiences, and contributing modeling expertise as a team player
- Communicate feature and systems health through dashboards based on in-game telemetry and user data
- This requires a broad set of skills and a flexible, scientific mindset, passion for learning
- You will be responsible for proposing, training, validating, and shipping models from concept to production
- Research, design, implement and evaluate novel algorithms
- 1+ years of experience with Unity Platform
- Game development experience is a plus
- Unity Platform experience is a plus
- Experience developing software in traditional programming languages (C++, Java, .)
- 2+ years with of the commercial or open source statistical and various machine learning software
- MS or PhD in Computer Science, EE, Statistics, Operations Research or equivalent technical field