10 KiB
10 KiB
Amazon data science job comparison
Made as a part of Machine Learning Engineering classes at AMU Poznań.
Goal of this task is to compare 6 (at least) interesting job offers, compare requirements stated by the employers and prepare a short speech about the requirement that we have found to be particularly important.
Job 1 Sr Manager, Data Science
Employer: Amazon
Team: AWS Data Science
Location: Seattle, Washington
Required:
- PhD or equivalent Master's Degree plus 10+ years of experience in a quantitative field.
- 5+ years of people management experience
- Strong analytical skills.
- 10+ years of experience of building predictive models for business and proficiency in model development and model validation.
- Experience managing data pipelines for data ingestion
- Experience working with software development teams and taking models to production
- Experience managing business stakeholders across organizations
- Strong communication skills
Nice to have:
- Experience with time series modeling and machine learning forecasting.
- Experience with supply chain methodologies
Job 2 Data Scientist, Network - Core
Employer: Amazon
Team: AWS Data Science
Location: Seattle, Washington
Required:
- Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems
- PhD or equivalent Master's degree plus 3+ years of research experience in a quantitative filed
- Experience working in very large scale problems
- Experience investigating the feasibility of applying scientific concepts to business problems and products
- Must have at least two years of experience in the following skill(s): programming with a mathematical programming language such as R, MATLAB, or SAS or major programming language such as Python, Java, C++, C#, or C
Nice to have:
- Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems
- PhD or equivalent Master's degree plus 3+ years of research experience in a quantitative filed
- Experience working in very large scale problems and applying simple solutions that demonstrate deep understanding of the problems
- Experience investigating the feasibility of applying scientific concepts to business problems and products
- Three years of experience in the following skill(s): R, MATLAB, or SAS or major programming language such as Python, Java, C++, C#, or C
- Prior work experience and/or academic research in area of Time Series, Network Modelling or equivalent
- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
Job 3 Data Scientist
Employer: Amazon
Team: AWS Cleared Jobs
Location: Herndon Area, VAWashington, DC | Greater Metro Area
Required:
- A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent experience
- 5+ years of industry experience in predictive modeling, data science and analysis
- Previous experience in a ML or data scientist type of role and a track record of building ML or DL models
- Active TS/SCI clearance with polygraph
Nice to have:
- Graduate degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.)
- 10+ years of industry experience in predictive modeling
- Good skills with programming languages, such as Java or C/C++
- Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately identify cause and effect relationships
- Consulting experience and track record of helping customers with their AI needs
- Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
- Experience using Python and/or R
- Knowledge of SparkML
- Able to write production level code, which is well-written and explainable
- Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
- Experience working with GPUs to develop models
- Experience handling terabyte size datasets
- Track record of diving into data to discover hidden patterns
- Familiarity with using data visualization tools
- Knowledge and experience of writing and tuning SQL
- Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
- Experience giving data presentations
- Strong written and verbal communication skills
- Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
- Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Job 4 Computer Vision Data Scientist
Employer: Amazon
Team: AWS Cleared Jobs
Location: US, VA
Required:
- Master or PhD in computer vision/machine learning or related experience.
- 3+ years of relevant experience in building production-scale system/algorithm in one of the following domains: computer vision, deep learning, or machine learning.
- Coding skills in one or more programming languages such as Python, Scala, Java, C, C+
- 2-3 years of modeling experience working with deep learning frameworks like Pytorch or MxNet.
- Current hands-on experience with state-of-the-art object detection approaches (e.g. Faster RCNN, YOLO, CenterNet etc.)
- Understanding of deep learning CV evaluation metrics including mAP, F_beta, PR curves, etc.
Nice to have:
- Broad knowledge of fundamentals and state-of-the-art in computer vision/machine learning.
- Experience leveraging and augmenting large code base and computer vision/machine libraries/toolkits to deliver new solutions.
- Experience extending object detection models to multi-object, multi-label tracking
- Experience working with geospatial datasets (e.g. satellite imagery)
- Experience working with motion imagery datasets (e.g. Full Motion Video/ FMV, Wide Area Motion Imagery/ WAMI)
- Proven track record of innovation in creating novel algorithms and advancing the state of the art
- Distributed training experience (DDP, Horovod)
- Model compilation experience (TensorRT, TVM)
- Familiarity deploying solutions to AWS or cloud services and experience with AWS services such as SageMaker is considered a plus
- Familiarity deploying solutions to IoT/edge platforms (e.g. NVIDIA Jetson Xavier)
- Experience in publishing at major computer science conferences or journals
- Proven track record in technically leading and mentoring scientists
- Strong written and verbal communication skills and ability to work effectively with a large, distributed team.
Job 5 Data Scientist - AWS Infrastructure
Employer: Amazon
Team: AWS Data Science
Location: Arlington Area, VA
Required:
- Advanced degree (M.S. or Ph.D.) in Engineering, Math, Statistics, Finance, Computer Science, or related industry experience.
- 3+ Years of experience in data science/analysis/engineering
- 2+ Years of experience applying Statistics/Data Science/Machine Learning
- 2+ Years of Scripting experience in Python/R or other scripting languages
- 2+ Years of SQL experience
- 2+ Years of experience in Data Visualization, using Tableau, R Shiny, other off the shelf products, or scripting directly
Nice to have:
- Experience in modeling and optimization
- Working knowledge of AWS tech stack.
- Experience with clustered data processing (e.g. Hadoop, Spark, Map-reduce, Hive)
- Experience in communicating technically, at a level appropriate for the audience.
Job 6 Language Engineer
Employer: Amazon
Team: Alexa Speech
Location: US, CA
Required:
- Knowledge of scripting languages (e.g. Python, bash)
- Knowledge of phonetics/phonology and ability to analyze/validate phonetic transcriptions
- Native or near-native fluency in a non-English language
- Excellent written and spoken communication skills
Nice to have:
- Master’s in Computational Linguistics (or equivalent field with computational emphasis); alternatively, 2 years of experience in the field.
- Hands-on experience working with Natural Language Processing or Speech Processing
- Experience in writing grammars and building FSTs
- Strong personal interest in learning, researching, and creating new technologies related to foreign languages, linguistics, phonetics, phonology and language technology
- Feeling comfortable and motivated when working in a fast paced, highly collaborative, dynamic work environment
Required skills summary:
| Offer id | MSc | PhD | Communication | Visualization | AWS | Big Data | SQL | ML tools |
|---|---|---|---|---|---|---|---|---|
| 1 | ✔️ | ✔️ | ✔️ | ❌ | ❌ | ❌ | ❌ | ❌ |
| 2 | ✔️ | ❌ | ✔️ | ✔️ | ❌ | ✔️ | ✔️ | ✔️ |
| 3 | ✔️ | ✔️ | ✔️ | ❌ | ✔️ | ❌ | ❌ | ✔️ |
| 4 | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ❌ |
| 5 | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ | ❌ |
| 6 | ✔️ | ❌ | ✔️ | ❌ | ❌ | ❌ | ❌ | ❌ |