Data Engineer / Data Scientist Resume Samples

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D Lesch

Darby

Lesch

50506 Heller Ford

Boston

+1 (555) 466 7603

50506 Heller Ford

Boston

Phone

p +1 (555) 466 7603

Experience Experience

New York, NY

Data Scientist / Data Engineer

New York, NY

West-Waters

New York, NY

Data Scientist / Data Engineer

Knowledge of statistical and machine learning techniques such as regression analysis, clustering, decision trees, ensemble methods, collaborative filtering, etc
Propose, investigate, develop and refine new analytic capabilities for deployment in the business. Build algorithms, tools and custom solutions for use by business analysts and forecasters
Work alongside engineers to establish an analytics platform to be used across the business
Prepare and present findings of investigations to management
Architect, build and prototype new data models and pipelines that deliver intuitive analytics to our customers
Manipulate and analyze large data sets using industry standard tools and techniques. Extract quantitative and qualitative findings from large data sets
Proficiency with Unix/Linux environments

Boston, MA

Search Engineer / Data Scientist

Boston, MA

Nolan-Osinski

Boston, MA

Search Engineer / Data Scientist

Be involved in all stages of a data science product development from definition, design, development and delivery
Test growth theories to make new customer acquisition work
Define and assist on Search taxonomies/product catalogs/categorization
Develop and test semantic wording concepts using clickstream and events processing
Work with a wide array of structured and unstructured data sources including relational and NoSQL databases and formats including text, image and audio/video
Data mining and analysis tools to optimize keyword search results
Maintain search features/data mapping diagrams

present

Houston, TX

Senior Software Engineer / Data Scientist

Houston, TX

Reichert-Runte

present

Houston, TX

Senior Software Engineer / Data Scientist

present

Lead projects that use cutting edge machine learning, data mining and optimization algorithms to analyze all this data
Productize and automate machine learning, model tuning and deployment
Invent methods to detect threats such as phishing, DGA’s and malware
Develop and Maintain Web Portals for Data Sharing and Visualization
Implement automated tools for model tuning and data evaluation
Contribute to team discussions and decisions
Build state of the art data systems that ingest, model and analyze massive flow of data from online and mobile user activity to create models to achieve business objectives

Education Education

Bachelor’s Degree in Computer Science

Central Michigan University

Bachelor’s Degree in Computer Science

Skills Skills

Solid experience in investigative analysis and technical debugging, Ability to troubleshoot and identify root cause
Knowledge of applied statistics, machine learning, data mining, and predictive analytics
Ability to independently manage complex project objectives and complete multiple simultaneous project tasks with little supervision
Expert-level experience in data science and visualization toolkits (R, SAS, Python, Tableau). Fluency in SQL
Experience applying critical thinking to analyze processes and data anomalies to diagnose data issues
Proven ability to sift through data, identify critical information, develop hypotheses, identify appropriate data science techniques and perform rigorous analyses to deliver new insights and solve business problems
Strong oral and written communication skills, including the ability to communicate findings to stakeholders and document project steps in detail (also, the ability to communicate technical projects to non-technical stakeholders and sponsors)
Ability to work individually, as well as partner with small teams of Data Analysts / Data Scientists during all stages of projects, including planning and execution
Expert experience with dimensional modeling, Big Data solutions and ETL development
Familiarity working with large-scale datasets and big data techniques

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15 Data Engineer / Data Scientist resume templates

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Senior Software Engineer / Data Scientist Resume Examples & Samples

Build state of the art data systems that ingest, model and analyze massive flow of data from online and mobile user activity to create models to achieve business objectives
Lead projects that use cutting edge machine learning, data mining and optimization algorithms to analyze all this data
Work on optimization, scalability and performance of existing data infrastructure
Planning & estimation: ability to set and meet your own project objectives & milestones
Ability to coordinate effectively with team members in engineering, design, and product management
Ability to lead a team of engineers working on data related projects
Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Math, Statistics or related field
8+ years of experience in handling Business Intelligence, Data Warehouses, Data Management, Big Data, Predictive Analytics, Data Sciences
Strong background in Data Mining, Machine Learning, Statistics, Information Retrieval, or Graph Analysis
Working knowledge of Hadoop, Hive, Spark or other Big Data platforms
Comfortable with data analysis & visualization using tools like R, Matlab, or SciPy
Experience with MySQL, NoSQL database technologies like Redis
Direct working experience with software development using Python, Scala or Java
Team-player with excellent communication skills to disseminate results and progress internally and externally in meetings, presentations, and tech talks
Self-motivated, quick-learner and can get thing done efficiently
Willingness and ability to learn from and educate peers
Have a startup mindset and willing to take initiative on their own and run with the project
Experience working in an Agile development team

Research Engineer / Data Scientist Resume Examples & Samples

Conduct literature reviews and keep abreast of current techniques in applied statistics, machine learning, and big data
Invent and/or apply new techniques to telemetry data on a global scale and identify new security threats
Develop and document proofs-of-concept (POCs) to demonstrate the efficacy, performance, and scalability of new techniques
Publish and present research findings, including methodology and measured efficacy improvements
Partner with threat-research and engineering teams to turn successful POCs into product features and actionable intelligence
Experience in Python, Java
Extensive hands-on experience with Hadoop ecosystem (MapR preferred). HBase and Spark highly desirable
Hands-on experience with distributed graph databases (Titan and/or InfiniteGraph preferred)
Experience turning research ideas into actionable designs and POCs
Comfortable working in an open, dynamic, applied-research team where multiple on-going projects and open collaboration are the norm
Strong verbal, written, analytical, and persuasive skills. Able to communicate effectively with both technical and non-technical colleagues
Facility with applied statics or machine learning
Experience in data mining and working with large, unfiltered data sets highly desirable
Advance degree in relevant field (PhD preferred) or commensurate direct experience

Data Scientist \ Data Engineer Resume Examples & Samples

Extract/transform/load (ETL) and ongoing maintenance of third party data in a Python / Hadoop environment
Network data construction and application of Network Analytics to complex business issues, involving relationships among both entities and individuals, to better understand transaction effects and interactions and allow for better business decisions
Apply Statistical Analysis, Machine Learning that will provide actionable insight to internal banking clients
Create documentation of existing tools / methodologies / processes
Assist with ad hoc tasks
Degree in Computer Science or related field
Strong background in Python. Will consider experienced Java/C++ developers willing to learn Python 3
Familiarity with the following technologies will be a plus: Python, Hive, Pig, MapReduce, Sqoop, Oozie, Spark, R
Familiarity with Graph Theory, HITS, PageRank, SVD is a plus
Quick learner, inquisitive by nature, ability to learn independently
Ability to communicate highly technical material to general audience

Senior Engineer, Data Scientist Resume Examples & Samples

Develop best practices for instrumentation, experimentation & communicate those to internal engineering teams
Communication and coordination between multiple internal and external development teams
Proven track record as a researcher and innovator in academia and industry
Authorship of seminal articles in peer-reviewed publications
Demonstrated ability to implement high-business-value predictive analytics at scale
Experience with remote sensing and instrumentation of large-scale networks
Familiarity with Spark, OpenStack, Mesos, and Docker

Data Scientist / Principal Engineer Resume Examples & Samples

Help evolve JCI's integrated IoT strategy for the smart building sector, with a focus on security, safety, energy and building automation and related use cases
Support cyber security analysis and initiatives as required for deployed solutions
Proven ability to operate successfully across multiple functions, influence business leaders and peers alike, and resolve conflict effectively. Working in a collaborative team environment with engineering, sales, marketing and customer care energizes you
You actively solicit opposing perspectives and alternative ideas. You proactively share accomplishments, knowledge, lessons, and updates across the organization
Demonstrated thought leadership and capability in managing both directly and through influence to deliver product solutions with both revenue impact and growth

Big Data Engineer / Data Scientist Resume Examples & Samples

Analyze historical and simulated operational data to support decisions that have implications for aviation safety risk and mitigation strategies
Apply data analysis skills: exploratory data analysis, data mining, time series analysis, distribution fitting, regression, classification, clustering
Develop algorithms to identify anomalous flight behavior and implement at scale on the Hadoop platform
Apply statistical methods for trending analysis, regressions, and predictive models
Draw conclusions from data and clearly and concisely articulate key findings in both written and verbal form
Develop data visualizations/dashboards that communicate findings

Senior Engineer, Sw-data Scientist Resume Examples & Samples

Study, Design and prototyping of new technology implementation
Work in Collaboration with teams on different geographical locations and time zones
Work on new technologies and solutions independently
Should be able to think out of the box and contribute towards future IPs
Good Technical writing and presentation skills
BE/B-Tech/M-Tech/Phd in CS, ECE
4 years of industry experience with atleast 2 years in the area of Machine Learning
Hands-on experience on some of the popular machine learning models like Hidden Markov Models, Support Vector Machines, Decision Trees, Neural Networks, etc
Good understanding of Deep Neural Networks (RNN, RBM, DBN,Auto Encoders, Convolution Networks). Hands on experience with one Deep Neural Networks is preferred
Experience in implementing Machine Learning Models in different programming languages - Python, C/C++
Knowledge of CUDA /OpenCL Frameworks
Experience in Automotive / Audio Domain
Should be a self motivated, result oriented and an excellet team player
Should be able to work under competivitive time frame and deliver
Should be a very fast learner and have excellent problem solving ability
Should have excellent written and verbal communication skills

Industrial Engineer / Data Scientist Resume Examples & Samples

Enabling continuous improvement in Lam’s Livermore factory
Factory designs
Data compilation and analysis
Executive presentations
Expert knowledge of Toyota Production System / Lean Manufacturing concepts

Watson Software Engineer / Data Scientist Resume Examples & Samples

Software Engineer
Data Scientist
Proven ability to deliver results in a fast-paced team environment
Demonstrates leadership capabilities by being involved with university clubs and/or community
Proven analytical and communication skills
Co-op or internship program enrollment is mandatory
Passion for artificial intelligence and cognitive computing
Hands-on experience (training, testing, creating dataset) with artificial intelligence

Deep Learning for Digital Pathology Development Engineer & Data Scientist Resume Examples & Samples

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
Deep learning based proof-of-concept to enhance the efficiency and/or quality of the pathologist’s diagnosis
Validation of the proof-of-concept
Demonstration of proof-of-concept in a clinical pathology lab
Master degree in

Data Scientist / Software Engineer Resume Examples & Samples

Create innovative methodologies and implement end to end proof of concepts for extracting value from real-time and historical client data, transaction and business data
Develop and apply machine learning/deep learning, NLP and CV algorithms to various areas of recommendations, predictions and prescriptive analytics, optimizations, classifications, clustering and segmentation
Leverage large sets of structured and unstructured data to demonstrate and build insights and foresights to innovation user experience

Data Engineer / Data Scientist Internship Resume Examples & Samples

Experience with other programming languages a plus (C++, Java, Scala, etc)
Experience with distributed computing a plus (e.g. parallel computing, Spark)
Knowledge of R Shiny or similar tools a plus

Senior Engineer, Sw-data Scientist Resume Examples & Samples

BE/B-Tech in CS, IT, ECE
4-6 years of industry experience with atleast 2-4 years in the area of Knowledge Based AI (KBAI)
Hands-on experience on popular KBAI methods like Production Systems (SOAR), Scripts and Frames
Strong Understanding of Ontologies and different alternatives like Semantic Web, RDF, OWL etc
Understanding of KBAI Learning methodologies
Theoritical Understanding of Natural Language Processing/ Understanding

Data Scientist / Principal Engineer Resume Examples & Samples

Ability to use existing machine/deep learning frameworks and libraries (Caffe, Torch, Theano, OpenCV etc)
Expertise in programming e.g. C++, Python, R, Java and CUDA
Track record in integrating machine learning with real-time computing, including mobile appas and front-end systems

Data Engineer / Data Scientist Resume Examples & Samples

Modeling and mining large data sets using open source technologies such as Programming language (R), Hadoop, Apache Spark, etc
Software development experience with Jaql, Hive, Java, Go, C++ , JSON, Python, XML etc
Cloud-based data engineering experience with PaaS & IaaS
CUDAs, FPGAs & HPCs, applied to data science and deep learning
Deep learning methods and techniques
Creating and deploying large-scale, data-driven systems
Different data mining techniques - associations, correlations, evidence, inferences, clustering, support vector, ensemble methods, GBM, etc
Cloud-based, agile, devops environments
Creation/deployment of models and algorithm to analyze social, machine, text, sensor, streaming, large-volume unstructured data
Data science, data engineering, statistics, modeling, operations research, computer engineering, computer science and applications, or mathematics
Innovating experimental design and measurement methodologies
Innovating modeling, machine learning, entity linkage, knowledge graph and similar approaches
Automatically find and interpret data rich sources, merge data together, ensure data consistency, and provide insights as a service
Optimized management of big data within set hardware, software and bandwidth constraints
Designing and deploying user interfaces that interact naturally with people
At least 5 years of experience in one or more of the following
At least 5 years experience in one or more of the following

Data Scientist / Data Engineer Resume Examples & Samples

Architect, build and prototype new data models and pipelines that deliver intuitive analytics to our customers
Maintain an understanding of division strategic goals, business challenges and customer needs to support identification and development of novel analytic approaches that solve key business problems
Train partner teams on use of new analytic tools and methods
Expert experience with dimensional modeling, Big Data solutions and ETL development
Solid experience in investigative analysis and technical debugging, Ability to troubleshoot and identify root cause
Knowledge of applied statistics, machine learning, data mining, and predictive analytics
Proven ability to sift through data, identify critical information, develop hypotheses, identify appropriate data science techniques and perform rigorous analyses to deliver new insights and solve business problems
Experience applying critical thinking to analyze processes and data anomalies to diagnose data issues
Strong oral and written communication skills, including the ability to communicate findings to stakeholders and document project steps in detail
Ability to work individually, as well as partner with small teams of Data Scientists during all stages of projects, including planning and execution

Senior Data Scientist / Data Engineer Resume Examples & Samples

Conduct insightful analytics: Analyze data to reveal insightful trends and patterns and communicate the findings to business stakeholders in easily interpretable and visually appealing formats. Develop fit-for-purpose algorithms to serve end-user and product needs including prediction and personalization
Develop analytics services at scale: Propose and implement an analytics services model to be utilized by products in real-time and by internal stakeholders
Interface with product owners to identify requirements: Work closely with product owners to identify requirements to support through analytics and deliver according to the set milestones
Experience with data extraction, transfer, and load processes
Experience in technology implementation, mainly in software and data engineering
Experience with data querying languages such as SQL
Familiarity developing high quality reports (written and visual)
Attention to detail, ability to self-check the accuracy of work and create necessary quality control gates
Ability to work collaboratively and support multiple teams and meet milestones
Willingness to function in novel problem-solving spaces and find practical and creative solutions to address business needs
Willingness to grow in skills and gain experience
At least 2 years of post-doctoral or industry experience having expertise in both advanced data analytics and technology implementation, mainly in software and data engineering

Software Engineer, Data Scientist Resume Examples & Samples

Ability to illuminate complex problems with data analysis
Proven product success derived from research and analysis results
Familiarity with Hadoop, Map/Reduce and NoSQL databases

Data Scientist Performance Engineer Resume Examples & Samples

Measurement and data analysis (statistical) experience
Understanding and experience with most of the following of common internet principles and protocols: TCP/IP, UDP, DNS, HTTP, HTML, and SSL
BS Degree in Computer Science AND 5+ years of equivalent experience OR as Master’s Degree in Computer Science and 2+ years of equivalent experience OR a PhD. Education and experience in other relevant engineering or analytical discipline is acceptable
Experience with principles of software development and design, and experience with common programming languages such as SQL, perl, java, python, php, C/C#
Experience working with web services and API’s a big plus (SOAP & REST)
Thorough understanding of distributed systems and/or virtual machine systems
Experience in networked systems operation and monitoring. Experience in the evaluation and benchmarking of network performance
Experience with principles of operating system development and design
Interest in working in a dynamic and fast paced environment

Software Engineer, Data Scientist Resume Examples & Samples

Master’s Degree in relevant discipline (Data Science, Math, Statistics), preferred
Minimum 5+ years’ experience with various data analysis and visualization tools, experience with data analysis at scale, an asset
Expert experience in machine learning, artificial intelligence and/or artificial neural networks, other data algorithms used in activities like data cleansing, attribute definition, sampling, analytics etc. and their implication of solving different problems
Experience with deep learning technologies, data mining using state-of-the-art methods
Knowledge about Natural language, and vision, speech, processing algorithms, an asset
Experience with multiple scripting languages and statistical modeling program (Python, Ruby, Spark, Scala, Hive, R, Matlab)
Track record of diving into data to discover hidden patterns and of conducting analysis to solve business problems
Experience with open source technologies, a modern web technology stack, and server architecture
Ability to think creatively and solve problems; and
LI-SN

Chief Engineer / Data Scientist Resume Examples & Samples

8+ years of experience with computer science or analytics delivery in a consulting or internal role, establishing client relationships, and delivering innovative solutions
6+ years of experience with implementing or leading complex data management, big data analytics, and data science solutions for the DoD using big data technologies
Experience with DoD big data platforms, including Red Disk or UCD Platform and RDK and leading technical development teams using Agile methods
Experience with developing or leading teams and projects using programming languages and technologies for big data systems, including Java, PHP, Perl, SQL, Python, Accumulo, Hadoop, Storm, Spark, JMS, REST, and XML
Experience with developing and mentoring staff at all levels and building an internal capacity to deliver high quality and highly innovative analytic or software development services
Experience with developing and implementing successful market strategy and business development, including proposal, project, and intellectual capital creation
Experience with Cyber data sets, including BGP, traceroutes, and TCP/IP
Knowledge of data mining and machine learning techniques
BA or BS degree in Mathematics, Operations Research, CS, or Engineering
MA or MS degree in Mathematics, Operations Research, CS, or Engineering
Certified Developer for Apache Hadoop
ICAgile Certification

Data Engineer / Data Scientist Resume Examples & Samples

Propose, investigate, develop and refine new analytic capabilities for deployment in the business. Build algorithms, tools and custom solutions for use by business analysts and forecasters
Manipulate and analyze large data sets using industry standard tools and techniques. Extract quantitative and qualitative findings from large data sets
Prepare and present findings of investigations to management
Engage partner teams and directors of partner teams, as needed, to secure additional resources (funding, tools, people) to drive success of key projects (or to meet key deadlines)
Actively track and report progress against key objectives
Proactively assist other team members, as required, to drive the success of the team
Expert-level experience in data science and visualization toolkits (R, SAS, Python, Tableau). Fluency in SQL
Strong oral and written communication skills, including the ability to communicate findings to stakeholders and document project steps in detail (also, the ability to communicate technical projects to non-technical stakeholders and sponsors)
Ability to work individually, as well as partner with small teams of Data Analysts / Data Scientists during all stages of projects, including planning and execution
Ability to independently manage complex project objectives and complete multiple simultaneous project tasks with little supervision
Familiarity working with large-scale datasets and big data techniques
Experience with AWS ecosystem a plus

Senior Software Engineer / Data Scientist Resume Examples & Samples

Lead team’s efforts in automation, resilience, code quality and maintainability
Productize and automate machine learning, model tuning and deployment
Develop and Maintain Web Portals for Data Sharing and Visualization
Implement automated tools for model tuning and data evaluation
Invent methods to detect threats such as phishing, DGA’s and malware
Contribute to team discussions and decisions
Motivate and drive others to achieve collective goals
Work in a dynamic and small environment with opportunities to collaborate with other Cisco teams, including Product Management, Customer Support and Development
Leadership, expertise and motivation for quick and efficient coding and scripting
Knowledge of open source tools in Linux/Unix environment
Understanding of the statistics behind artificial intelligence
Experience with end to end data science, including ETL, databases and visualization
Cyber security experience

Data Scientist / Data Engineer Resume Examples & Samples

Develop and deploy predictive algorithm models for a large scale cloud based SaaS sensor platform
Develop analytics to address customer needs and opportunities
Work alongside software developers, software engineers and data engineers to translate algorithms into viable solutions
Assists in the development and execution of a long term data strategy that would be necessary for the efficient execution of initiatives by the Sensor team
Bachelor’s degree in computer science or related
2+ Proficiency in at least 2 of the following analysis packages– SPSS, SAS, R and Matlab
2+ Proficiency in at least 1 of the following programming languages– Python, Java, R, Scala
2+ years of experience with NoSQL DB’s and 1+ year experience in MongoDB is required
1+ years of experience with DevOps methodologies in a cloud environment (AWS)
Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics)
2+ years analytics development for industrial applications in a commercial setting
2+ years of Java and JavaScript development
2+ Experience with Python data manipulation packages such as Pandas and NumPy
1+ Experience with Amazon EMR ecosystem including Hive, Spark, Presto, Zeppelin, etc

VP Data Engineer / Data Scientist Resume Examples & Samples

Text Mining
Graph DB, especially Neo4j
Greenplum DB
Machine Learning
Solr Search
Behavioral analytics
JavaScript, CSS, XSL, React JS
Pentaho
Agile experience, especially Scrum
Securities industry experience
Trade surveillance experience
Jest, Cucumber, JUnit, Selenium

Search Engineer / Data Scientist Resume Examples & Samples

Partner with Business Units, Product Development, and Product Management teams to identify and work on high-impact projects utilizing big data analytics and machine learning techniques
Apply rigorous analytical methods and analyze levers that can drive growth and profitability across our product and services offerings
Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes
Define and assist on Search taxonomies/product catalogs/categorization
Maintain search features/data mapping diagrams
Develop and maintain scripts for information transforms applicable to Search
Apply customer funnel analysis on rigorous A/B testing
Data mining and analysis tools to optimize keyword search results
Test growth theories to make new customer acquisition work
Develop computational models combining variables such as frequency, word proximity, field weights to determine relevance and coverage
Develop and test semantic wording concepts using clickstream and events processing
Deploy, maintain and optimizing machine learning models in a production environment
Information retrieval, machine learning and natural language processing, such as text mining
Classification, information extraction, clustering, feature engineering, topic modeling and ranking and search relevance
MS/PhD in Engineering/Operations Research/Statistics or a related technical discipline
3 years of experience developing applied Apache Lucene open source solutions such as Solr and/or Elasticsearch
3 years of programming experience in one of the languages like Python/R/Ruby/Perl/Shell/C/Java or equivalent
PreferredPHD with advanced mathematical training in mathematical modeling, statistical analysis, forecasting models and margin engineering (cross elasticity, demand curve modeling)
Demonstrated experience/SME in machine learning, statistical analysis and algorithm development including publications, patents and contributions to open source code
Expertise with building data science products from design to delivery Working with large data sets in distributed systems such as Hadoop, Teradata, etc

Cognitive Apps Engineer, Data Scientist Resume Examples & Samples

Lead strategy discussions and help to design and develop a solution that meets clients goals and outcomes
Collaborate with team members to implement client driven AI and Cognitive apps
Conduct data analysis and predictive analysis to meet client needs
Design and develop world-class cognitive apps and solutions using Watson and other leading AI technologies
Develop the front, middle, and back-end of AI and Cognitive apps on the IBM Cloud or other cloud topologies
Reverse-engineer implemented solutions to understand the client problem and resolve client challenges
Create predictive models, train and leverage machine learning APIs, build machine learning pipelines, build Chatbots for the enterprise, embed intelligence in a variety of industry or domain-specific use-cases, and more
Candidates will have an opportunity to specialize in an additional Data Engineering track, if they can demonstrate knowledge of modern data engineering technologies such as Scala, Spark, Alluxio, HDFS, Cassandra, and general data devops
Skill development: helping our employees grow their foundational skills and promoting internally
Diversity of people: Diversity of thought driving collective innovation
The IBMer: ibm.com/ibm/responsibility/2015/ibmer/
Ibm.com/responsibility/initiatives
At least 3 years experience working on predictive analytics and data mining projects
3 years hands on experience using complex machine learning methods and algorithms such neural net, deep learning and collaborative filtering
At least 3 years of experience working with one or more data mining tools such as R, Python, SAS and SPSS
Hands-on experience writing complex SQL queries and working with relational databases such as Oracle DB2 and SQL Server
Hands-on experience constructing and manipulating JSON and XML documents and working with NoSQL databases such as MangoDB and CouchDB
Understanding of SOA Architecture and hands-on experience working with REST and SOAP APIs
Self-directed and demonstrable problem solving skills
Knowledge of modern software development techniques and methodologies
Knowledge and practice of secure software development processes
Ability to handle multiple priorities and deadlines
5 years of experience working on predictive analytics and data mining projects
5 years hands-on experience and affinity to learn and use Machine Learning, Cognitive, and AI APIs
5 years hands-on experience in building node.js, Python, or Swift applications
5 years hands on experience working with Big Data technologies such as Spark, Cassandra, MongoDB, or Hadoop
5 years of experience using data transformation and integration services such as Kafka Connect
5 years hands-on experience with both relational and NoSQL technologies
Hands-on experience in building full-stack web and data apps

Cognitive Apps Engineer, Data Scientist Resume Examples & Samples

At least 2 years of experience working on predictive analytics and data mining projects
2 years of hands-on experience using complex machine learning methods and algorithms such neural net, deep learning and collaborative filtering
At least 2 years of experience working with one or more data mining tools such as R, Python, SAS and SPSS
Excellent written and verbal communication skills. Ability to communicate effectively with a broad range of constituents
4 years of experience working on predictive analytics and data mining projects
4 years of hands-on experience and affinity to learn and use Machine Learning, Cognitive, and AI APIs
4 years of experience with both relational and NoSQL technologies
2 years of hands-on experience working with Big Data technologies such as Spark, Cassandra, and/or Hadoop
2 years of experience using data transformation and integration services such as Kafka Connect and/or PySpark
Good understanding of SOA Architecture and hands-on experience working with REST and SOAP APIs
Familiarity with Agile development and Continuous delivery best practices

Data Scientist Data Engineer Resume Examples & Samples

Requirements gathering and elaboration of value-adding use cases for digital solutions in tight collaboration with ABB’s business units and end customers
Development of data analytics models, e.g. predictive models for industrial assets, based on cutting-edge machine learning and artificial intelligence techniques
Prototype and proof-of-concept demonstrator development
Communication of project results and complex solutions to expert and non-expert audiences
Publishing of results and work in committees
Data analytics: Python (mandatory), R is a plus
Software Development: sound C# skills are a plus
Solid data engineering and platform skills
Handling and querying data in files, tables, databases
Using technologies like Hadoop, Spark for storing and computing with big data
Solid knowledge of existing PaaS offerings, like it is given on Azure
Knowledge of the inner logic of machine learning algorithms
Affection for statistics, also from a Bayesian perspective
Experience with machine learning frameworks and toolboxes