Engineer, Data Science Resume Sample
Ayla Franecki
88913 Kuphal Cliff,
Detroit,
MI
+1 (555) 915 7766
Work Experience
Principal Engineer, Data Science
03/2016
-
PRESENT
Boston, MA
- Architect and build data pipelines and data stores specialized for data science needs
- Build, automate and deploy specialized research environments
- Optimize code and design architecture to streamline data science processes
- Experience with both relational database design (SQL), non-relational (NoSQL), big data, real-time technologies
- Local to San Francisco
- Be part of a team responsible for architecting, planning, and delivery of engineering components
- At least four years of software engineering experience
Data Engineer, Data Science
02/2013
-
11/2015
Dallas, TX
- Fluency in two or more of the following: Python, R, Scala, Java, Go, or JavaScript
- Experience with applied data science and data science tools
- Experience with modern web applications (e.g. AngularJS, React)
- Strong sense of ownership and craftsmanship
- Serve as a data scientist for audience studio data products
- Develop and code data science services that is core to Audience Studio, under the leadership and direction of the Director, Data Science
- Building production quality systems and models
- Extending company’s data with third party sources of information when needed
Software Engineer Data Science
03/2009
-
10/2012
Boston, MA
- Identify and recommend improvements that streamline, automate, and standardize the model development lifecycle. Research best practices and propose innovations designed to enhance Risk Management’s ability to increase profitability and enhance customer experience. Build frameworks to test data and the risk models operating on them
- Experience with data science techniques, machine learning algorithms, or automated analytics of high volumes of data
- Working understanding of application containers, J2EE services and associated technologies
- Proven development, design, documentation and review experience
- Building high quality and high performance systems; proficient in build tools (Ant), development environments (Linux) and IDE's (Eclipse or IDEA)
- Follow Agile methodology
- Familiarity with the MapReduce paradigm is desirable
- Displays expertise in process design and redesign skills. Presents and
Education
Kettering University
2003 - 2008
Science's Degree in Computer Science
Professional Skills
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees and Random Forests, etc
- Masters in Computer Science/Engineering (or Bachelors with significant relevant experience)
- Tware development experience using Python, R, Java and MATLAB
- Twelve+ years experience in software development and/or product engineering
- Five+ years of experience interacting directly with Tech leadership and product management to define, deliver and execute on multiple projects
- Own the customer experience-think and act in ways that put our
- Working knowledge of Scala, Pandas, R, SQL, and Hadoop
How to write Engineer, Data Science Resume
Engineer, Data Science role is responsible for modeling, research, design, architecture, java, database, training, software, automation, languages.
To write great resume for engineer, data science job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Engineer, Data Science Resume
The section contact information is important in your engineer, data science 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 Engineer, Data Science Resume
The section work experience is an essential part of your engineer, data science 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 engineer, data science responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular engineer, data science position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Engineer, Data Science resume experience can include:
- Experience with the ability to come up with practical algorithms and write high quality code quickly in a programming language (such as C++, Java, Python)
- Develop most effective technical products to meet business requirements
- Deployed, maintained and performance-tuned machine learning models in a production environment
- Familiarity with Jira, Confluence, Git, build management tools and Agile development methodology
- Collaborate with software & hardware engineers to envision, iterate and implement concepts
- BS in Computer Science, Information Systems or relevant area
Education on an Engineer, Data Science Resume
Make sure to make education a priority on your engineer, data science resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your engineer, data science 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 Engineer, Data Science Resume
When listing skills on your engineer, data science 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 engineer, data science skills:
- Experience with cloud scale and modern open-source software
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab
- Developing production code in a team setting
- MS in computer science, engineering, statistics, physics or applied mathematics
- Provide support using Agile methodology to ensure delivery of high-quality products
- Provide training and mentor other Engineers when required
List of Typical Skills For an Engineer, Data Science Resume
1
Skills For Principal Engineer, Data Science Resume
- We invest in our people and offer a series of programs that enables them to pursue a career that
- Familiarity with big data environments/ecosystems, such as Hadoop, Spark
- Proficiency in languages and technologies such as: Java, Scala, Spark, NoSQL, REST web services, AWS cloud technologies
- Provide technical guidance in software design and development activities
- Experienced in developing technical/architectural roadmaps merged with product vison using Enterprise products to create a unified roadmap that delivers a leading edge product
- Assist in maintenance and upgrades of existing software applications
2
Skills For Data Engineer, Data Science Resume
- Self-reliant and motivated self- starter
- Work well within group or individually on projects
- Presto or Hive
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