187 lines
10 KiB
Markdown
187 lines
10 KiB
Markdown
# Amazon data science job comparison
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Made as a part of Machine Learning Engineering classes at AMU Poznań.
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Goal of this task is to compare 6 (at least) interesting job offers, compare requirements stated by the employers
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and prepare a short speech about the requirement that we have found to be particularly important.
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## Job 1 [Sr Manager, Data Science](https://www.amazon.jobs/en/jobs/1544978/sr-manager-data-science)
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**Employer:** Amazon
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**Team:** AWS Data Science
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**Location:** Seattle, Washington
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### Required:
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* PhD or equivalent Master's Degree plus 10+ years of experience in a quantitative field.
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* **5+ years of people management experience**
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* Strong analytical skills.
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* 10+ years of experience of building predictive models for business and proficiency in model development and model
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validation.
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* Experience managing data pipelines for data ingestion
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* Experience working with software development teams and taking models to production
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* **Experience managing business stakeholders across organizations**
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* **Strong communication skills**
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### Nice to have:
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* Experience with time series modeling and machine learning forecasting.
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* Experience with supply chain methodologies
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## Job 2 [Data Scientist, Network - Core](https://www.amazon.jobs/en/jobs/1590641/data-scientist-network-core)
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**Employer:** Amazon
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**Team:** AWS Data Science
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**Location:** Seattle, Washington
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### Required:
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* Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling
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problems
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* PhD or equivalent Master's degree plus 3+ years of research experience in a quantitative filed
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* Experience working in very large scale problems
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* Experience investigating the feasibility of applying scientific concepts to business problems and products
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* Must have at least two years of experience in the following skill(s): programming with a mathematical programming
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language such as R, MATLAB, or SAS or major programming language such as Python, Java, C++, C#, or C
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### Nice to have:
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* Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling
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problems
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* PhD or equivalent Master's degree plus 3+ years of research experience in a quantitative filed
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* Experience working in very large scale problems and applying simple solutions that demonstrate deep understanding of
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the problems
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* Experience investigating the feasibility of applying scientific concepts to business problems and products
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* Three years of experience in the following skill(s): R, MATLAB, or SAS or major programming language such as Python,
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Java, C++, C#, or C
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* Prior work experience and/or academic research in area of Time Series, Network Modelling or equivalent
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* **Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical
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concepts and considerations to non-experts**
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## Job 3 [Data Scientist](https://www.amazon.jobs/en/jobs/777583/data-scientist)
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**Employer:** Amazon
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**Team:** AWS Cleared Jobs
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**Location:** Herndon Area, VAWashington, DC | Greater Metro Area
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### Required:
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* A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research,
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Statistics, Mathematics, etc.) or equivalent experience
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* 5+ years of industry experience in predictive modeling, data science and analysis
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* Previous experience in a ML or data scientist type of role and a track record of building ML or DL models
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* Active TS/SCI clearance with polygraph
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### Nice to have:
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* Graduate degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics,
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Mathematics, etc.)
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* 10+ years of industry experience in predictive modeling
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* Good skills with programming languages, such as Java or C/C++
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* Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines,
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ability to accurately identify cause and effect relationships
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* **Consulting experience and track record of helping customers with their AI needs**
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* **Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences**
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* Experience using Python and/or R
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* Knowledge of SparkML
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* Able to write production level code, which is well-written and explainable
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* Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
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* Experience working with GPUs to develop models
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* Experience handling terabyte size datasets
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* Track record of diving into data to discover hidden patterns
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* **Familiarity with using data visualization tools**
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* Knowledge and experience of writing and tuning SQL
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* **Past and current experience writing and speaking about complex technical concepts to broad audiences in
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a simplified format**
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* **Experience giving data presentations**
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* **Strong written and verbal communication skills**
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* Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
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* **Combination of deep technical skills and business savvy enough to interface with all levels and disciplines
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within our customer’s organization**
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* Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic
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environment
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## Job 4 [Computer Vision Data Scientist](https://www.amazon.jobs/en/jobs/1520242/computer-vision-data-scientist)
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**Employer:** Amazon
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**Team:** AWS Cleared Jobs
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**Location:** US, VA
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### Required:
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* Master or PhD in computer vision/machine learning or related experience.
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* 3+ years of relevant experience in building production-scale system/algorithm in one of the following domains:
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computer vision, deep learning, or machine learning.
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* Coding skills in one or more programming languages such as Python, Scala, Java, C, C+
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* 2-3 years of modeling experience working with deep learning frameworks like Pytorch or MxNet.
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* Current hands-on experience with state-of-the-art object detection approaches (e.g. Faster RCNN, YOLO, CenterNet etc.)
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* Understanding of deep learning CV evaluation metrics including mAP, F_beta, PR curves, etc.
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### Nice to have:
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* Broad knowledge of fundamentals and state-of-the-art in computer vision/machine learning.
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* Experience leveraging and augmenting large code base and computer vision/machine libraries/toolkits to deliver
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new solutions.
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* Experience extending object detection models to multi-object, multi-label tracking
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* Experience working with geospatial datasets (e.g. satellite imagery)
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* Experience working with motion imagery datasets (e.g. Full Motion Video/ FMV, Wide Area Motion Imagery/ WAMI)
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* Proven track record of innovation in creating novel algorithms and advancing the state of the art
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* Distributed training experience (DDP, Horovod)
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* Model compilation experience (TensorRT, TVM)
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* Familiarity deploying solutions to AWS or cloud services and experience with AWS services such as SageMaker is considered a plus
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* Familiarity deploying solutions to IoT/edge platforms (e.g. NVIDIA Jetson Xavier)
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* **Experience in publishing at major computer science conferences or journals**
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* **Proven track record in technically leading and mentoring scientists**
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* **Strong written and verbal communication skills and ability to work effectively with a large, distributed team.**
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## Job 5 [Data Scientist - AWS Infrastructure](https://www.amazon.jobs/en/jobs/1587231/data-scientist-aws-infrastructure)
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**Employer:** Amazon
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**Team:** AWS Data Science
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**Location:** Arlington Area, VA
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### Required:
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* Advanced degree (M.S. or Ph.D.) in Engineering, Math, Statistics, Finance, Computer Science, or related
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industry experience.
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* 3+ Years of experience in data science/analysis/engineering
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* 2+ Years of experience applying Statistics/Data Science/Machine Learning
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* 2+ Years of Scripting experience in Python/R or other scripting languages
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* 2+ Years of SQL experience
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* **2+ Years of experience in Data Visualization, using Tableau, R Shiny, other off the shelf products,
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or scripting directly**
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### Nice to have:
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* Experience in modeling and optimization
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* Working knowledge of AWS tech stack.
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* Experience with clustered data processing (e.g. Hadoop, Spark, Map-reduce, Hive)
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* **Experience in communicating technically, at a level appropriate for the audience.**
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## Job 6 [Language Engineer](https://www.amazon.jobs/en/jobs/1603588/language-engineer)
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**Employer:** Amazon
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**Team:** Alexa Speech
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**Location:** US, CA
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### Required:
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* Knowledge of scripting languages (e.g. Python, bash)
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* Knowledge of phonetics/phonology and ability to analyze/validate phonetic transcriptions
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* Native or near-native fluency in a non-English language
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* **Excellent written and spoken communication skills**
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### Nice to have:
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* Master’s in Computational Linguistics (or equivalent field with computational emphasis); alternatively,
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2 years of experience in the field.
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* Hands-on experience working with Natural Language Processing or Speech Processing
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* Experience in writing grammars and building FSTs
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* Strong personal interest in learning, researching, and creating new technologies related to foreign languages,
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linguistics, phonetics, phonology and language technology
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* Feeling comfortable and motivated when working in a fast paced, highly collaborative, dynamic work environment
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## Required skills summary:
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| Offer id | MSc | PhD | Communication | Visualization | AWS | Big Data | SQL | ML tools |
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| 1 | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | :x: | :x: | :x: | :x: |
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| 2 | :heavy_check_mark: | :x: | :heavy_check_mark: | :heavy_check_mark: | :x: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
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| 3 | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: | :heavy_check_mark: | :x: | :x: | :heavy_check_mark: |
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| 4 | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: |
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| 5 | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :x: |
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| 6 | :heavy_check_mark: | :x: | :heavy_check_mark: | :x: | :x: | :x: | :x: | :x: |
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