Applied Scientist Job Description
Applied Scientist Duties & Responsibilities
To write an effective applied scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included applied scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Applied Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Applied Scientist
List any licenses or certifications required by the position: JTA, AWS, PMP, CAPM, RDS, S3, CCA, MCSE, MCITP
Education for Applied Scientist
Typically a job would require a certain level of education.
Employers hiring for the 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, Machine Learning, Mathematics, Graduate, Statistics, Electrical Engineering, Physics, Engineering, Technical, Business
Skills for Applied Scientist
Desired skills for applied scientist include:
Desired experience for applied scientist includes:
Applied Scientist Examples
Applied Scientist Job Description
- Speed (generate predictions for millions of new or changed pages with low latency)
- Diversity (models need to work across different languages, market places and data sources)
- Intelligently classify customer submissions and feedback using predictive analytics
- Scale (build models for billions of products in the catalog utilizing trillions of customer interactions)
- Accuracy (extreme requirements for precision or recall due to impact of getting it wrong, extremely high precision for merging identical products)
- Speed (generate predictions for millions of new or changed products with low latency)
- Diversity (products need to be classified into more than 100k’s of categories across 16 languages)
- High dimensionality (feature engineering and selection using 1k’s of structured product features with millions of values, unstructured product data, product images, customer searches, clicks, reviews, ), and
- Noise (build models robust to varying quality of data provided by millions of sellers and labels derived implicitly or collected from humans)
- Identify which product information matters most to our customers
- Track-record of having developed novel algorithms
- Experience in data munging (SQL, ETL, data warehouse, ) and using databases in a business environment with large-scale, complex datasets
- Expert knowledge of a statistical programming language (R, Python)
- Proficient in major programming language (C++, C, C#, Java)
- Very strong self-learning skills
- Comfortable with data munging (SQL, ETL, data warehouse, ) and using databases in a business environment with large-scale, complex datasets
Applied Scientist Job Description
- Extract product information from unstructured data to augment the catalog
- Automatically classify new products with low latency into our highly detailed product categories
- Improve the categorization of our huge catalog with minimum manual effort
- Identify identical products and similar products such as different sizes and colors of the same shoe
- Identify restricted products such as hazardous materials
- Estimate the financial impact of catalog improvements
- Accuracy (extreme requirements for precision or recall due to impact of getting it wrong, extremely high precision for merging identical products or extremely high recall for identifying hazardous materials)
- Diversity (products need to be classified into >100k’s of categories across 16 languages)
- Work closely with business owners to optimize various business operations
- Work in an agile environment to deliver high quality software against ambitious schedules
- Understanding of computer science fundamentals including data structures and algorithms
- Experience with distributed machine learning systems
- Experience with Spark, Hadoop, Elastic Map Reduce (EMR)
- Strong technical credentials supported by academic publications or industry experience in ML, speech recognition, natural language understanding, computer visions
- BS/Masters in CS, Math or Physics
- Experience with quantum circuits
Applied Scientist Job Description
- Use Machine learning semi-supervised techniques to build models that help predict those topics
- Diversity (products need to be classified into thousands of categories across 16 languages)
- High dimensionality (feature engineering and selection using thousands of structured product features with millions of values, unstructured product data, product images, customer searches, clicks, reviews, ), and
- Noise (build models robust to varying quality of data provided by millions of sellers and labels derived implicitly or collected from humans, alternate spellings)
- Code and test system components
- Extracting statistics from system logs to identify improvement opportunities
- Eliciting and understanding product requirements and engineering constraints
- Proposing state-of-the art solutions for realizing product improvements
- Validating solutions by means of off-line and on-line tests and experiments
- Communicating results to fellow applied scientists and to product stake-holders
- Experience with quantum computing
- 2+ years F#/C#/C++
- Working knowledge of quantum error correction
- Solid machine learning background
- PhD in Computer Science, Mathematics, Statistics, or relevant technical field
- MS degree or higher degree in computer science or equivalent (PhD preferred)
Applied Scientist Job Description
- Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and applied science communities
- Collaborating with software developers and engineers to integrate new solutions into production code
- Implementing modifications to deployed solutions to address issues and improving user satisfaction
- You will need to be creative and go far beyond text book solutions to deal with these challenges
- We use the resulting models to automatically improve the catalog when possible, and design efficient machine assisted workflows to allow expert review for high impact decisions
- Develop and/or apply statistical modeling techniques
- Build on core technology in Visual Search
- Analyze big data (Search Experience, Detail Page, Order History, Clickstream analytics) to figure out user behavior problems, and output reports with clear recommendations
- Collaborate closely with the development team to recommend innovations based on data analysis and partner with them on projects
- Report on customer, product, marketing and sales insights and trends to senior leadership and the team at large
- 2+ years in the areas of machine learning, information retrieval, natural language processing
- 2+ years of software design and development experience with C++, C#, Java or similar programing languages in commercial software services
- 2+ years of experience in the areas of machine learning, information retrieval, natural language processing or data mining
- 2+ years of experience using C++, C# or Java
- 2+ years of experience working with massive database applications, parallel or distributed processing, high performance computing or large scale data mining
- Master’s Degree in Computer science (Machine Learning, Data Mining, Statistics, NLP)
Applied Scientist Job Description
- Work in a dynamic team that provides continuous opportunities for learning and growth working with leaders in the field of machine learning
- Working with machine learning tools
- Review insights and intelligence to provide recommendations to key stakeholders
- Develop queries and reports for business teams and ongoing projects
- You will help us to
- Build a scalable system which can algorithmically identify relevant sources and retrieve information from world wide web
- Intelligently cluster web pages to predict pages that have a high propensity for change using predictive analytics
- Build systems that will identify newer domains for crawling using social feeds, offline data
- Analyze and validate data to ensure high data quality and reliable insights
- Proactively identify interesting areas for deep dive investigations and future product development
- PhD in Computer Science (Machine Learning, Data Mining, Statistics, NLP)
- 3+ years experience in R&D in the fields of machine learning
- Strong experience in writing production grade systems in languages like C, C++, C#, or Java
- MS degree in Computer Science, Mathematics, Electrical Engineering or equivalent
- 1+ years of solid machine learning background
- Experience with deep learning methods and toolkits