Data Engineer / Data Scientist Job Description

Data Engineer / Data Scientist Job Description

179 votes for Data Engineer / Data Scientist
Data engineer / data scientist provides expert data science skills in feature engineering and coding of key components of relevant geologic systems.

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:

Investigate the interactions of playback performance metrics (play delay, average bitrate, rebuffer rates, ) with each other and the effect on subscriber usage to help identify opportunities for algorithmic improvement
Build tools and visualizations to help explore these interactions
Provide expert advice and education in the usage and interpretation of data around quality of experience metrics
Provide decision-support to engineers and managers by creating dashboards, running queries, building predictive models - really doing whatever it takes - to support the analytical needs of the streaming platform organization
Design, build, and maintain all parts of the data warehouse infrastructure to support adaptive streaming analysis (requirements gathering, ETL, data modeling, metric design, reporting/dashboarding, etc)
Identify data quality issues and their root causes
Providing pre-sales and market support to Region and Product Line to boost UPG data analytics business in global market
Performing UPG system study in data analytics domain to support Product Line on technical feasibility and support development team with system solution and requirement analysis
Support product line to develop new business case based on telecom network data
Specifying and building proof of concepts and prototypes, for the platform running analytics on streaming complex datasets

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:

Statistical concepts
Administrative Coding
Agile development methodology
Azure platform
Data modelling best-practices and the ability to apply an analytical & structured approach
Data pre-processing
Even in high pressure situations
Feature engineering and modeling

Desired experience for data engineer / data scientist includes:

Specifying, developing and maintaining applications for Management Information (MI) reporting
Developing and optimising the analytics in order to enhance the effectiveness of the programme
Liaising closely with Global Technology (GT), in developing the platform
Supporting Run the Bank (RTB) analysts in trading behaviour investigations, providing data analysis and recommendations
Processing ad-hoc support for requests from Front Office (FO) Supervisors, FO Business Managers or the Oversight Committee, for granular information, reports relating to Trading behavior and activity
Experience in quantitative software development, including Python, Java, Scala or other production languages, for implementing analytic, event driven applications on very large datasets

Data Engineer / Data Scientist Examples


Data Engineer / Data Scientist Job Description

Job Description Example
Our innovative and growing company is looking to fill the role of data engineer / data scientist. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for data engineer / data scientist
  • 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
Qualifications for data engineer / data scientist
  • 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

Job Description Example
Our company is looking to fill the role of data engineer / data scientist. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for data engineer / data scientist
  • 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
Qualifications for data engineer / data scientist
  • 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

Job Description Example
Our company is hiring for a data engineer / data scientist. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for data engineer / data scientist
  • 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
Qualifications for data engineer / data scientist
  • 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

Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of data engineer / data scientist. Thank you in advance for taking a look at the list of responsibilities and qualifications. We look forward to reviewing your resume.
Responsibilities for data engineer / data scientist
  • 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
Qualifications for data engineer / data scientist
  • 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

Job Description Example
Our company is growing rapidly and is searching for experienced candidates for the position of data engineer / data scientist. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for data engineer / data scientist
  • 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
Qualifications for data engineer / data scientist
  • 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

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