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]{https://www.amazon.jobs/en/jobs/1544978/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]{https://www.amazon.jobs/en/jobs/1590641/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]{https://www.amazon.jobs/en/jobs/777583/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]{https://www.amazon.jobs/en/jobs/1520242/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]{https://www.amazon.jobs/en/jobs/1587231/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]{https://www.amazon.jobs/en/jobs/1603588/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 | skill 1 | skill 2 | | 1 | ❌ |✔️ |