Data Engineer / Data Scientist Resume Sample
Troy Trantow
5394 Vella Trail,
San Francisco,
CA
+1 (555) 327 9644
Work Experience
Senior Software Engineer / Data Scientist
12/2017
-
PRESENT
Dallas, TX
- Create documentations of existing tools / methodologies / processes
- Leverage data management processes and available infrastructure / API tools to develop POC capabilities/solutions
- A passion for empirical research, a desire to work on challenging data problems around predictive analytics and a demonstrated ability to learn and innovate
- The ability to create a strong network of relationships among peers, internal partners, and external constituencies
- Comfortable communicating with and receiving feedback from both technical and non-technical audiences
- Select and apply effective statistical and machine learning models to solve real problems
- Create, validate and demonstrate a meaningful innovation in the digital pathology clinical workflow that uses state-of-the-art deep learning techniques to improve the quality and efficiency of the pathologist’s diagnoses
Cognitive Apps Engineer, Data Scientist
06/2013
-
07/2017
Phoenix, AZ
- Seasoned programmer in Python, or another mainstream language, like Java
- Experience in NodeJS/Django or another web development platform is desirable
- Demonstrated problem-solving skills in data analysis
- Motivation and ability to quickly deploy prototypes and write code
- Experience with developing analytics and machine learning systems on Linux/Unix
- Experience with schema design, queries and optimization for SQL/NoSQL databases
- Passionate about internet security. Energetic and articulate
- Experience with regular expressions and ETL
Data Engineer / Data Scientist Internship
04/2010
-
01/2013
Dallas, TX
- Experience in developing fit-for-purpose analytics and reporting tools
- Working closely with development teams in designing/implementing performance enhancements and new features
- Define metrics for tracking system performance and drive these systems to meet those metrics
- Respond to incidents, but more importantly; prevent incidents through predictive modeling and active analysis
- Interact with Customer Support, Professional Services, Engineering, Product Management and other organizations across the company to provide insights about network operations, new feature introductions and efficiency
- Lead team’s efforts in automation, resilience, code quality and maintainability
- Invent methods to detect threats such as phishing, DGA’s and malware
- Experience in development of resilient systems on Linux/Unix platform
- A BS/BA, Masters or PhD in a highly technical field (CS/CE ideal)
Education
University of Phoenix - Burlington Learning Center
2005 - 2010
Master's Degree in Computer Science
Professional Skills
- Programming skills with modern languages (Python, C#, Java, R, Scala, etc.)
- Programming skills with relations and NoSQL databases
- Extensive statistical modeling experience (regression, classification, clustering)
- Experience working with cloud based or big data technologies (e.g. Databricks)
- Collaborating with data scientists to turn working prototypes into well-abstracted, reusable modules for iterative development of data science projects
- Providing technical leadership and assisting the team on execution of technical tasks centered on delivery of analytics models
- Overseeing multiple projects from concept to completion
How to write Data Engineer / Data Scientist Resume
Data Engineer / Data Scientist role is responsible for programming, languages, software, modeling, digital, reporting, analysis, java, database, automation.
To write great resume for data engineer / data scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Engineer / Data Scientist Resume
The section contact information is important in your data engineer / data scientist 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 Engineer / Data Scientist Resume
The section work experience is an essential part of your data engineer / data scientist 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 engineer / data scientist 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 engineer / data scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Engineer / Data Scientist resume experience can include:
- Experience with NoSQL DB’s and 1+ year experience in MongoDB is required
- Work with cross-functional teams to implement and validate enhanced audience measurement methodologies
- Hands-on experience in data analytics
- Experience with NoSQL DB’s
- Relevant collaborative software development experience
- Extensive experience work in Hadoop eco system like YARN, Hive, Impala, Map Reduce,
Education on a Data Engineer / Data Scientist Resume
Make sure to make education a priority on your data engineer / data scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data engineer / data scientist 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 Engineer / Data Scientist Resume
When listing skills on your data engineer / data scientist 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 engineer / data scientist skills:
- Experience with NoSQL DB’s and 1+ year experience in MongoDB is required
- Object oriented programming experience in a high level language like Python, java, scala
- Experience working with large volumes of complex data, preferably in distributed frameworks such as Spark, SparkR and PySpark
- Industry experience in a Data Science role
- Strong facility with one of Matlab, R or similar tool
- Experience with Classifiers, Maximum Likelihood Estimation, Probabilistic Graphical Models
List of Typical Skills For a Data Engineer / Data Scientist Resume
1
Skills For Cognitive Apps Engineer, Data Scientist Resume
- Experience in the field of aviation and time-series analysis
- GPU Programming for Deep Learning Tasks
- Computer programming in Python, Java, R, SQL
- Comprehensive testing of your own code
- Deep learning based proof-of-concept to enhance the efficiency and/or quality of the pathologist’s diagnosis
- Office near King St. / Yonge St. financial nexus in downtown Toronto
- Master’s or PhD in related field such as CS, ML, Statistics, Engineering, etc
- Knowledge of process automation and data engineering
2
Skills For Search Engineer / Data Scientist Resume
- Demonstrable knowledge of statistics, mathematics, and programming
- PhD or MS in data analytics, machine learning, statistics, computer science, or related field
- Comfortable in a programming language like Python or Go
- Familiarity with database tools and Big Data systems/tools, e.g. Apache Hadoop, Hive, Pig
- Familiarity with data analysis and visualization tools, e.g. Tableau
- Linux/Unix, Windows, MS Office
- Being involved in every stage of the data product development life cycle; from coordinating initial requirements with business owners, through development with subject matter experts and data scientists, to production deployments with developers
- Production deployments of advanced analytics
3
Skills For Data Scientist / Software Engineer Resume
- Experience in applying, development and validation of machine learning, deep learning and artificial intelligence to real customer and business problems
- Like to generate broad concepts and ideas. Visionaries by nature, thinks big picture but masters the tiniest of details
- Risk taker, flexible and independent developer with team work on your mind, say yes and “just Do It!”, putting together fast workable solutions and makes the job done
- Experience with statistical software (e.g. R, Python)
- Knowledge of data formats (e.g. Oracle, Hadoop, NoSQL)
- Perform data mining to support new features in Spotlight Suggestions -Analyze large datasets to glean actionable insights -Design classifiers and ranking algorithms -Perform ad-hoc statistical analysis -Present results of analysis to team and leadership across Apple -Create metrics to measure the success of the service
- Unix scripting and CA AutoSys
4
Skills For Data Scientist Data Engineer Resume
- 2+ Proficiency in at least 1 of the following analysis packages– SPSS, SAS, R and Matlab
- No SQL DB, especially Hadoop
- Spark, especially with MLIB
- Relational DB, especially Oracle
- Experience with one or more of the following: python programming, data manipulation, data integration, weighting, sampling, survey or market research, trend or pattern recognition, statistics, data aggregation techniques, automation, or quality assurance
- Hardware Engineering: Developing and installing Wi-Fi™, Bluetooth®, and other connectivity solutions
5
Skills For Senior Software Engineer / Data Scientist Resume
- Networking: Designing, maintaining, and optimizing large-scale traffic across secure, reliable, and redundant backbones that connect different destinations with knowledge of typical wireless connections, EFID, and emerging wireless protocols
- UI/UX Design: Ability to develop effective, user-friendly interfaces, responsive web design, and service design
- Information Security: Vulnerability assessment, PKI security, ethical hacking, wireless network security, data ethics, and privacy policies
- Mobile Development: Knowledge of mobile apps that communicate with external hardware and sensors
- Business Intelligence: Collect, store, & analyze smart device data streams, sensor data analysis, data center management, predictive analytics, and programming skills in big data platforms
- Cross-domain understanding: Relevant knowledge from domains of Building Automation, HVAC control, security, energy management/ efficiency solutions and sustainability best practices
- Experience developing and training models (e.g., Machine Learning and/or Deep Learning) as part of side projects and/or class projects
6
Skills For Software Engineer, Data Scientist Resume
- Experience working with one or more of the following languages/frameworks: Python, R, Nodejs, Bluemix, Javascript
- Familiarity with data annotation
- Independently write custom Python and SQL code
- Drive technical solutions to complex business problems. From lightweight automation to designing and building robust/scalable solutions. Strong focus on optimization
- Key tasks include – but are not limited to – trend analyses, identifying methodological and process improvements, representation/ sampling, bias reduction, indirect estimation, data integration, automation, generalization, data integration, examining large volumes of data, harmonization as well as working with different data sources
- Foosball skills …
- Support in detecting and addressing quality escapes
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