Data Science Engineer Resume Sample
Delmer Stamm
6007 Wilderman Forges,
New York,
NY
+1 (555) 209 5859
Work Experience
Senior Data Science Engineer
05/2017
-
PRESENT
Chicago, IL
- Provides Project leadership: Ability to initiate, organize and champion complex analytics effort with a cross functional team of Data Engineers, Data Scientists and business stakeholders
- Takes on leadership opportunities within the development team. Initiates and facilitates team meetings to socialize technical ideas, encourages a culture of excellence among peers, and identifies good opportunities for adopting innovation
- Experience architecting and building big data pipelines using Spark, Map Reduce 3+ Years
- Expertise in programming languages like Scala, Java, C# 3+ Years
- Expertise in scripting languages like python, R 1+ Years
- Experience in using Microsoft Azure for Data and Analytics solutions ( Azure Data Lake, Azure Data Factory, Azure Data Lake Analytics/ USQL, Azure Stream Analytics, Azure Machine Learning, Azure Storage ) 1+years
- PowerShell, ARM 1+ Desirable
- Machine Learning Familiarity Desirable
- Web Application security, SSL OAuth Familiarity Desirable
Data Science Engineer
11/2011
-
02/2017
San Francisco, CA
- Extensive expertise/experience in the areas of data structures, warehousing, and profiling
- Scrum, Agile, Lean Product Development, Domain Driven Design
- Gathers requirements, analyzes, creates design documents, and performs impact analysis
- Partner with Data Scientists and stakeholders in cultivating long-term strategic goals for development in conjunction with end users, managers, and clients
- Continuously evaluate industry trends for opportunities to utilize new technologies and data sources for improvement and prepare strategies to implement these enhancements in the data environment
- Conduct research and make recommendations on products, services, and standards in support of procurement and development efforts of the company’s data initiatives
- Develop an automated pipeline for the Data Scientists to be able to train, test, and deploy their models
Summer Intern, Data Science Engineer
06/2005
-
06/2011
Detroit, MI
- Overall Data Engineering experience 3+ year
- Experience with Hadoop, Spark, Kafka, Cassandra (i.e. distributed compute and storage)
- User Interface design and development (e.g. JavaScript, Elixir, Phoenix, and other web stack technologies)
- Experience with container-based platforms such as Docker, Kubernetes, OpenShift, Mesosphere, Rancher, and CoreOS
- Extensive Experience with container monitoring applications such as monitoring solutions such as SysDig, Data Dog, AppDynamics, New Relic, Nagios, and Zabbix
- SQL experience / database interrogation techniques
- Linux command line skill is required
Education
University of Kansas - Edwards Campus
1999 - 2004
Science's Degree in Computer Science
Professional Skills
- Demonstrated analytical and quantitative skills using data mining, machine learning, or graph mining.
- Deep statistical skills - experience conducting field experiments and interpreting results to partners
- Strong verbal and written communication skills and ability to interact with non-technical business teams
- Programming skills in at least one modern language (Java, Go, Python, NodeJS, etc.) with at least a working knowledge of Python
- Machine learning skills - mining, analysis, mapping, statistical analysis
- Demonstrated knowledge of and practical experience applying data mining methodologies and building algorithms
- Expert programming skills in at least one modern language (Java, Go, Python, NodeJS, etc.) with at least a working knowledge of Python
How to write Data Science Engineer Resume
Data Science Engineer role is responsible for programming, python, analytical, software, engineering, research, analysis, java, learning, quantitative.
To write great resume for data science engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Science Engineer Resume
The section contact information is important in your data science engineer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Data Science Engineer Resume
The section work experience is an essential part of your data science engineer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data science engineer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data science engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Science Engineer resume experience can include:
- Strong in Python with solid experience in Pandas and NumPy required
- Evaluate the effectiveness of user experiences, determining what data is needed and how to collect it
- Demonstrated experience translating business requirements into data design and technical specifications
- Data driven, problem solving skills, lean product development, project mgmt., SDLC methodologies- Agile(Scrum) and Waterfall
- Keep skills and knowledge up-to-date
- BS/MS/PhD in computer science or related discipline with 2+ years experience, or 5+ years experience
Education on a Data Science Engineer Resume
Make sure to make education a priority on your data science engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data science engineer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Data Science Engineer Resume
When listing skills on your data science engineer resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical data science engineer skills:
- Experience in data engineering with relational DBs, good grasp of data modeling concepts
- Demonstrated experience with providing advanced data insights in an e-commerce, internet advertising or related field
- Demonstrated experience performing data extraction and transformation to construct modeling and evaluation datasets
- Demonstrated experience with data lake modeling, data warehousing, and ETL development
- Demonstrated experience building solutions for data extraction, ingestion, and processing of large data sets
- Superb communication, organization, and problem solving skills
List of Typical Experience For a Data Science Engineer Resume
1
Experience For Senior Data Science Engineer Resume
- Predictive modeling/Machine learning implementation experience in R, Python using Hadoop, Oracle 11g/12c and MS SQL Server 2016/2017
- Hands-on experience in implementing data lake systems using AWS cloud technologies such as S3, Redshift, EMR, Hive, Presto and Spark
- Experience with Java or Python along with an understanding of CS fundamentals and object-oriented programming
- Experience in machine learning, deep learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
- Experience building REST APIs with Flask or Django
2
Experience For Lead Data Science Engineer Resume
- Demonstrated advanced query development and design using SQL
- Experience With Machine Learning Frameworks, such as TensorFlow , PyTorch, H2O, scikit-learn, Theano, Caffe or Spark MLib is an added advantage
- Experience in building data APIs to consume analytic model output
- Software development and engineering experience on SAS Unix/Grid environments, Hadoop Eco system
- Knowledge and process experience using SDLC for analytics implementations and support for predictive analytics models
- Experience developing JavaScript based web UI technologies for data visualization
- Experience with Digital Asset Management, Enterprise Content Management, Web Content Management, EFSS, Messaging/Social applications
3
Experience For Data Science Engineer, Data Science Engineer Resume
- Experience with at least 3 different programming languages (e.g. Java, Scala, Clojure, Python, R, C, C++)
- Experience using version control, especially Git
- Experience with Real Time Bidding / Ad Tech background
- Developer or Machine learning expert by experience and education (PhD, MSc in Machine Learning, math or Comp Sci)
- In-depth experience with feature extraction or synthesis and detecting event or behavioral patterns
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
- Experience with data visualization tools, such as D3.js, GGplot, etc
4
Experience For Principal Data Science Engineer Resume
- Experience with common data science toolkits, such as R, Python, MatLab, etc
- Experience in building data science platforms
- Experience in building online experiment frameworks
- Experience in Agile software development process, Test-Driven development and Continuous Integration
- Industry experience and proficiency in competencies listed above for Data Science Engineer II
5
Experience For Data Science Engineer, SAP Ariba Resume
- Demonstrated technical expertise in writing SQL against data warehouse, relational database or MPP database using multiple tools
- Experience with development frameworks as well as data and integration technologies such as Python, Scala or Informatica
- Working machine learning challenges in implementing algorithms and building infrastructure to run these in production environments in scalable and reliable way
- Working closely with other data scientists and engineers helping with feature and model engineering
- Developing algorithms, or selecting commonly applied algorithms to solve a specific problem or unlock a hidden data insight
- Communicating and convincing vested stakeholders the nuanced benefits/drawbacks of proposed solutions
- Working closely with Product and Engineering team for selection of features
- Implementing BlackBox and WhiteBox testing techniques to ensure quality throughout the team
- Creating and maintaining a CI/CD pipeline
6
Experience For Data Science Engineer, Infra Resume
- Creating and maintaining containers for microservices
- Working with new and cutting edge technologies
- Understanding of basic machine learning algorithms
- Understanding of statistical analysis on streaming systems
- Programming with Deep Learning algorithms
- Building, troubleshooting or deployment of data science applications
- Working closely with data scientists to implement scalable and reusable machine learning algorithms in production system
7
Experience For Senior Cyber Security Data Science Engineer Resume
- Leading and coordinating a wide variety of projects from inception to completion
- Communicating and convincing vested stakeholders the nuanced benefits/drawbacks of your proposed solution
- Working closely with client technical staff to ensure solutions adhere to client standards and fit their strategic enterprise architecture
- Comfortable expressing Product/Engineering opinions and backing them up with supporting data
- Design and develop robust, scalable solutions for collecting, wrangling, cleansing and analyzing large data sets in the cloud-based production environment
- Data management includes processing, cleansing, and verifying integrity of data used for training and analysis
- Facilitates research by providing testing, maintainance, and provisions for critical infrastructure to support experimentation and prototyping
- Development of training and scoring services for Machine Learning Models
8
Experience For Data Science Engineer / Architect Resume
- Accountable for communicating proposed strategies and for delivering supporting analysis
- Understand existing business process and data relationships, performing deep studies to decide on the correct machine learning technique(s) to apply
- Own data quality throughout all stages of acquisition and processing, including data collection, ETL/wrangling, ground truth generation and normalization
- Discover the trending information hidden in vast amounts of client data using data mining techniques
- Participant modelling, Payment Processing, Process Modelling
- Lead a team of Data Science Engineers responsible for optimizing campaign performance and pacing
- Iterate, and innovate on Machine Learning algorithms in collaboration with Machine Learning Engineers and Software Engineers
- Technical leadership role in defining and implementing multiple intelligent subsystems to
9
Experience For Senior Data / Data Science Engineer Resume
- Develop Subject Matter Expertise on the key data elements that would help improve the data quality resulting in accuracy for various reporting
- Ensure adherence to and develop best practices supporting Citi’s engineering and SDLC related efforts
- Hands-on ownership architecting and developing highly scalable & highly available applications in the Cloud
- Participate in the entire SaaS life-cycle driving adoption and scale applying best practices that drive agility and quality
- Tune queries running over billion of rows of data running in a distributed query engine
- Enable analytics by building robust data sets that can power various ML techniques like regression, classification, clustering etc…
10
Experience For Summer Intern, Data Science Engineer Resume
- Definition and management of non-functional requirements, including working with others to ensure that they have been met
- Intermediate knowledge of developing large scale data processing and analytical pipelines
- Build and maintain a production level data modeling pipeline using big data technologies like Spark, Scala, Hive, Python and cloud services like Amazon AWS
- Develop techniques for monitoring and visualizing performance of all deployed algorithms
- Knowledge of machine learning, NLP, classifiers, statistical modeling and multivariate optimization
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Applied Statistics, Physics, Engineering or related field
List of Typical Skills For a Data Science Engineer Resume
1
Skills For Senior Data Science Engineer Resume
- Demonstrated entrepreneurial experience working with technology focused startups
- Secondary Skills ( Nice to Have) :- Python, R, TensorFlow, scikit-learn, machine learning algorithms, Statistics, Probability
- Communicate the results and methodology effectively within the team
- Knowledge of financial products and Quantitative skills to analyze and provide solutions
- Reporting experience on project status to team members and project sponsors
2
Skills For Lead Data Science Engineer Resume
- Making business recommendations with effective presentations of findings through visual displays of quantitative information
- In-depth experience with software development (scripting, programming, versioning, testing, deploying, etc.) on Linux and Microsoft platforms
- Experience working with large unfiltered data sets using distributed computing tools such as MapReduce, Pig
- Experience delivering and supporting components running within an always available and highly scalable Cloud/SaaS environment
- : Experience performing quantitative analysis, predictive analytics, mathematical modeling, and/or machine learning
3
Skills For Data Science Engineer, Data Science Engineer Resume
- Distributed computing principles and experience in big data technologies including performance tuning
- Coursework or practical experience with machine learning, data mining, and constructing
- Industry engineering experience with machine learning projects (e.g. recommendation, ranking, optimization)
- Experience in constructing fast data staging layers to feed machine learning algorithms
- Knowledge of significance testing. Time series analysis and experience designing online experiments are pluses
4
Skills For Principal Data Science Engineer Resume
- Extensive experience with machine learning, data visualization, and other data science techniques using Python, R, Scala, or other languages
- In-depth experience with data processing, extraction, cleansing, and transformation
- Experienced at preparing reports and giving presentations for technical and non-technical audiences
- Experience in data mining, artificial intelligence, or machine learning
- Experience building microservices exposing RESTful APIs (Swagger/OpenAPI, Django, NodeJS, etc.)
- Experience leading complex technical data warehousing, analytical or application development projects
- Experience implementing consumable models, or machine learning application features
- Experience with streaming ETL and analytics using Kafka
5
Skills For Data Science Engineer, SAP Ariba Resume
- Experience implementing algorithms and decision making systems in real-time environment
- Experience with one or more of the following (in a prototyping environment)
- Experience of delivering at least 1 project as a Technical Lead with the IBM Sterling Order Management System
- Be part of a highly skilled team that is building create an entirely new realtime Trading and Market Intelligence Platform form the ground up
- Experience in developing distributed, large scale data processing and analytical pipelines
6
Skills For Data Science Engineer, Infra Resume
- Software engineering experience and familiarity with Python and one or more of the following: C/C++, C#, Scala, Java
- Deep understanding of and experience with machine learning models and data analysis
- Good grasp of statistics to perform probabilistic matching of records
- Experience developing data based software solutions
- In-depth experience with database systems, both SQL and NoSQL, including Hadoop-based systems
- Good understanding of the scientific method
7
Skills For Senior Cyber Security Data Science Engineer Resume
- Experience with distributed analytic processing engines like MapReduce/Hive/Presto/Spark
- Software development and engineering experience on SAS Unix/Grid environments
- Industry experience with common machine learning models (Decision trees, Linear models, Naïve Bayes, Neural Nets)
- Demonstrated understanding of the full software development lifecycle
- Solid grasp of computer science fundamentals including data structures and algorithms
- Experience using data centric approaches in the design or quality evaluation of engineered systems
- Experience developing highly reliable, fault-tolerant distributed applications with focus on performance and scale in the Cloud (PaaS/SaaS – Azure, AWS, etc.)
8
Skills For Data Science Engineer / Architect Resume
- Experience working with relational and non-relational databases (PostgreSQL, MySQL, MongoDB, CosmosDB, etc.)
- Strong working knowledge of Java or Scala or C#
- Strong working knowledge of Hadoop, YARN, MapReduce, Pig or Hive, Spark
- Good knowledge with data modeling
- Proven ability to work well in a high performing team with agile development approaches and technology
9
Skills For Senior Data / Data Science Engineer Resume
- Object oriented programming experience with Java, C++, or Scala, etc
- Developer or Machine learning expert or numerical modeller by experience and education
- Fluency in SQL for data access, manipulation, and validation. R or SAS for data analysis. Scripting languages: Python, Perl, Java, C/C++
- Experience working on Agile team
- Progressive experience with a broad set of tech stacks, hands-on Machine Learning and Big Data is mandatory as part of the job
- Industry experience with applications of statistics, machine learning or operations research to real-life problems
10
Skills For Summer Intern, Data Science Engineer Resume
- Solid computer science fundamentals – data structures, algorithms, system design and programming principles
- Experience working with product development teams and/or with other developers
- Hands on experience of Spark / MapReduce
- Hands on experience with Pig / Hive
- Strong ability to evaluate and adopt new technologies in a short time
- Propose accuracy measures and validation criteria for the language models
List of Typical Responsibilities For a Data Science Engineer Resume
1
Responsibilities For Senior Data Science Engineer Resume
- Experience programming with Machine Learning algorithms
- Experience with programming on Windows
- Experience with Microsoft Azure ML and/or AWS ML
- Proven ability and desire to lead others in a team environment
- Development and production deployment experience with SQL, PL/SQL for Oracle or SQL Server
- Development experience with R, Python, Spark, Hadoop, HBASE, HIVE or H20
- Strong developer background with passion for data systems
- Experience in one or more languages such as Java, Python, R, and Scala
2
Responsibilities For Lead Data Science Engineer Resume
- Experience with the SCRUM/Agile process
- Experience with Tableau or other data visualization dashboard tools
- Experience with Ansible and other deployment automation tools
- Experience with cloud-based platforms, such as Azure
- Industry experience is a requirement
- Program development and production deployment experience with SAS (Unix), SAS EG & SAS Tools
3
Responsibilities For Data Science Engineer, Data Science Engineer Resume
- Program development and production deployment experience with SQL, PL/SQL for Oracle or SQL Server
- Software development experience with R or Python
- Software development experience with Spark, Hadoop, HBASE, HIVE or H20
- Industry experience with data visualization (ggplot2, d3, Tableau)
- Experience in distributed systems and architecture
4
Responsibilities For Principal Data Science Engineer Resume
- Proven knowledge with applied statistics and probability/ predictability data outputs
- Demonstrated ability to “productionalize” at least 2 big data implementations
- Experience with Microservice development
- Experience in GOlang and Python
- Test driven approach - Junit, TestNG; Experience with Jenkins, Maven, Gradle or build tools
- At least 18 months to 2 years of experience in FS
- BSc or MSc in computer science, mathematics, statistics or quantitative methods (or equivalent years’ experience)
5
Responsibilities For Data Science Engineer, SAP Ariba Resume
- Some experience in R, Python, SQL, Tableau, JMP, SAS language
- Work experience with app containers, especially Docker
- Work experience with REST APIs
- Relevant work experience in Analytics, technology or healthcare required
- Experience with big data techniques (Hadoop, MapReduce, Spark, Hive, Amazon AWS)
- Experience with production Kafka, Aerospike, and Docker instances
- Designing and implementing machine learning algorithms ranging from feature engineering, feature selection, clustering, predictive scoring and classification
- Working familiarity with devops/provisioning tools
6
Responsibilities For Data Science Engineer, Infra Resume
- Developing applications in the areas of Robotics Automation, Order Fulfillment, Assortment Optimization, Warehouse Management, and Competitive Analysis
- Recommending data retention policies and best practices
- Working in Agile team environment
- Writing custom code to support the implementation or execution of quantitative models within an targeted execution framework
- Leverage expertise to support development of new technologies, providing growth opportunities, in addition to supporting existing 3M products and businesses
- Exposure to Big Data, machine learning and data mining, large scale computing systems like, Hadoop and MapReduce
- Execute data profiling, data quality verification, and exploratory analysis including target variable analysis, feature creation using business knowledge
7
Responsibilities For Senior Cyber Security Data Science Engineer Resume
- A desire to bring data-driven decision-making and analytics to improve people's lives at work
- Work with application engineering teams to bring solutions to production
- Work closely with Data Science team and participate in development and deployment of machine learning models and feature engineering pipelines
- Can write scalable code using Java, Scala, Python, or other relevant programming language
- Keep up to date with cutting-edge machine learning/ big data methods and techniques
- Shift quickly from deep thinking to implementing in production
- Data mining using state-of-the-art methodologies
8
Responsibilities For Data Science Engineer / Architect Resume
- Build data expertise on real-world marketing and commerce data in various digital marketing domains
- Possess interest in data mining and open source programming
- Maintain high standard of quality and adhere to best coding practices. LI-AK1
- MSc in Machine Learning, HPC, computational sciences or similar
- DevOps/if no-one else is going to do it, I’ll do it attitude
- Probabilistic methods/Variational Autoencoders/Deep learning
- Build capabilities with existing software tools e.g., Microsoft Azure ML and/or AWS ML
- Lead by example by demonstrating the Starbucks mission and values
- Design and run experiments to optimize user segmentation, campaign setup, and real-time bidding strategies
9
Responsibilities For Senior Data / Data Science Engineer Resume
- Aid in the design of experiments to optimize user segmentation, campaign setup, and real-time bidding strategies
- At least 2 general purpose, high level programming languages – e.g., Python, java or scala for extra credit
- 1) Key responsibility includes turning data into actionable decisions in a highly iterative delivery model.
- Operationalizes data processing at massive scale
- Manage the decision-making process related to the selection of software solutions that make up the architecture
- Identify improvements in team coding standards and help in implementation of the improvements
- Engineer the build of proof-of-concepts / prototypes using data science techniques sufficiently robust to be released as part of customer-ready prototypes
- Background in online advertising
10
Responsibilities For Summer Intern, Data Science Engineer Resume
- Object-oriented design, unit testing, TDD, test management, and Git
- Proficiency developing in Microsoft Visual Studio
- Interface with internal data science, engineering and data consumer teams to understand the data needs
- Linear algebra and time-series data modeling techniques (neural network, linear regression, etc.)
- Work with the DevOps and Release Engineering teams on the release and maintenance processes for the developed software
- Eduction: BS/MS/Ph.D. In CS, Math or Physics
- Implementing algorithms, knowing and understanding Python/Scala + Tensorflow/Caffe, Spark/Samza/Flink, Druid/Cassandra/Redshift, and Data structures, data distribution and storing
- Master’s or Ph.D. in computer science, statistics, industrial/organizational psychology, artificial intelligence, or related field (or equivalent experience)
- Background and passion for machine learning, natural language processing, or statistical modeling
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