Data Engineer / Data Scientist Job Description
Data Engineer / Data Scientist Duties & Responsibilities
To write an effective data engineer / data scientist job description, begin by listing detailed duties, responsibilities and expectations. We have included data engineer / data scientist job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Engineer / Data Scientist Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Engineer / Data Scientist
List any licenses or certifications required by the position: CLD, NI, SQL, MS, DFSS
Education for Data Engineer / Data Scientist
Typically a job would require a certain level of education.
Employers hiring for the data engineer / data scientist job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Engineering, Mathematics, Science, Math, Technical, Physics, Education, Graduate
Skills for Data Engineer / Data Scientist
Desired skills for data engineer / data scientist include:
Desired experience for data engineer / data scientist includes:
Data Engineer / Data Scientist Examples
Data Engineer / Data Scientist Job Description
- The ability to clean, analyse, integrate and process complex data
- Experience in analytical, machine learning and statistical modeling techniques, in identifying patterns and signals (desirable)
- Experience in model prototyping languages, including Python, R, Matlab, and Mathematica
- Good at communicating to all levels, with the ability to share information and transfer knowledge and expertise to other colleagues
- Open minded and able to see the bigger picture
- Collect and mine data to provide a better user experience
- Mine massive datasets that are high-dimensional graph-based
- Develop statistical models to predict trends
- Design experiments for quantitative assessments of different algorithms
- Deploy data processing and analysis pipelines
- Understand BDS teams’ business needs, their operational processes and their inter-relationship with other teams’ functions and processes
- Provide transparency into the department’s operations to our staff, management and upper management using process diagrams and key measures of operating effectiveness (KPIs/KRIs and more)
- Identify the best areas to focus our department’s improvement efforts
- Research, prototype and deliver new products, technologies and techniques to better understand and run our business
- Foster an understanding of modern technologies, methodologies, architectures and best practices that will continue advancing our culture of constant improvement
- Contribute to the development of our data systems by implementing novel algorithms for retrieving, analyzing and visualizing data
Data Engineer / Data Scientist Job Description
- Analyze existing fleet data and extract useful statistics about field failures in order to drive meaningful improvements to production quality and customer experience
- Deep dive into data intensive manufacturing process to support debug and process improvement activities
- Apply machine learning algorithms to proactively identify upstream components that could be impacting end product quality
- Work effectively with engineering and to turn analysis results into meaningful actions in the production and in the manufacturing process
- The Big Data Engineer will provide technological expertise in the implementation, production and maintenance of our data science initiatives large-scale recommender system The role will be responsible for building data pipeline, implement the production-ready data-driven system/solution supporting the deployment/usage of these solutions
- Master’s Degree in Statistics, Math, Computer Science, DataScience or a related field
- Capability to self-learn new technologies in 4-6 week timeframe
- Knowledge of docker container environments and linux systems
- Partner with Line of Business Technology and Finance teams to understand the current analysis that they perform and to identify areas where it can be improved
- Work with historical and forecasted datasets of every asset class to analyse it and evaluate the feasibility of creating new tools for the business
- Degree in computer science, electronic engineering or other equivalent quantitative fields preferred
- Strong experience in automating/maintaining SAS and R scripts/models preferred
- Experiences in big data technology stack including Hadoop/Spark preferred
- Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science or related field required
- Proven ability to operate successfully across multiple functions, influence business leaders and peers alike, and resolve conflict effectively
- You actively solicit opposing perspectives and alternative ideas
Data Engineer / Data Scientist Job Description
- Partner with Technology Team to identify new enhancements of the framework that could enable or improve the analytical apps
- Apply machine learning and data science to solve Customer use cases
- Make design decisions on the basis of performance, scalability, security and future expansion
- Expanding our Deep Learning framework into Deep Reinforcement Learning and other applied AI algorithms
- Inventing new models that combine unsupervised and supervised learning
- Developing new reinforcement learning algorithms to exploit novel use cases in retail recommendations and other IOT applications, industrial AR, robotics, and more
- Cross functional support with teams in various business groups
- Demonstrating superior proficiency in using complex tools, platforms, languages, and application programs utilizing superior knowledge of TriZetto (or third party) products associated to the department
- Utilizing and sharing industry expertise (e.g., healthcare, IT, ), understanding of the business unit (e.g., application support, code development, ) and the Company's business
- Creating application design and code reviews processes
- Knowledge of programming languages such as Java, Python, R or C++
- Culture Change Champion with a flexible analytic approach to achieving results
- Experience with Hadoop, SQL and building multi-dimensional models
- Bachelor's Degree in engineering (civil, chemical, electrical, or mechanical), science or other technical fields such as physics, biology, chemistry, earth sciences, mathematics and/or business administration, statistics or computer science
- 2+ years of experience in an engineering or 4+ year of experience in a scientific or other technical field
- 3+ years of experience in documentation disciplines, including technical writing, editing, layout, documentation development and production, and desktop publishing
Data Engineer / Data Scientist Job Description
- Assisting in the development of improvements in procedures solutions for automating manual procedures
- Participating in and recommending improvements to processes which facilitate knowledge sharing and team collaboration
- Understanding and defining our analytic workflows
- Identifying commonalities of approach between teams and new workflows
- Identifying and defining statistical methods that help automate analytic decisions in the workflows
- Identifying new data sets and articulating their value to the team, the client, and the workflows
- Defining ways to apply statistics, probability, and machine-learning approaches to our analytic workflows and products
- Reviewing analytic results from each engagement and ensuring they following the workflows and all hypotheses are considered and evidence documented
- Bachelor’s Degree in a quantitative field (Math, Computer Science) or related degree programs and 8 years of relevant work experience
- High-level knowledge of data quality, database concepts, analysis, and rule/code development
- 12+ years of experience with developing software in high-level languages, including C++, Python, Java, Scala, or Lua
- 2+ years of experience with deep learning frameworks, including Caffe, Torch, or Tensorflow
- Experience with applying several convolutional neural network algorithms, including R-CNN, LSTM, SSD, or RBM
- MS degree in CS, Mathematics, or Physics or 3+ years of experience in a related field in lieu of an MS degree
- Master/PhD in Mathematics, Physics, Computer Science, Engineering, or Business Analytics
- Data Science Modeling
Data Engineer / Data Scientist Job Description
- Capable of leading complex projects
- High-level knowledge of the Information Continuum (structured to unstructured data)
- Read and create PL/SQL dml and ddl scripts
- Read and create shell scripts that are utilized in the build process and in research
- Create and modify Stored Procedures within Packages
- Ability to create ad hoc sql scripts to answer data questions
- Ability to create test/research processes using ETL tools that are available
- Design, construct, deploy, test, and maintain highly scalable data management systems
- Demonstrate proficiency in designing efficient and robust ETL workflows
- Build optimal processes to marry and define structure to data from systems
- Minimum of two years of experience with ArcGIS software, particularly geoprocessing tools in the data management, analysis, remote sensing, spatial analyst, and statistical toolboxes
- Experience managing and analyzing large, complex data sets
- Ability to design workflows and track progress and decisions accurately and efficiently
- Experience with integration and linkage of data from multiple sources to common geographic units
- Knowledge of the latest theories, concepts, and statistical methods for classification and evaluation of geographic data, including uncertainty and confidence measures
- Master's in geography, GIS, or related demographics science field, depending on position level