Computer Engineer (Data Systems) (Data Scientist)

Department Of The Treasury Hartford , CT 06183

Posted 4 months ago

  • Duties

Help Duties Summary

The U.S. Department of the Treasury has a distinguished history dating back to the founding of our nation. As the steward of U.S. economic and financial systems, Treasury is a major and influential leader in today's global economy. We have over 100,000 employees across the country and around the world. Come Join the Department of the Treasury and Invest in Tomorrow.

See "Other Information" for Locations

Learn more about this agency

Responsibilities

WHAT IS THE Privacy, Governmental Liaison and Disclosure (PGLD) DIVISION: The Privacy, Governmental Liaison and Disclosure is responsible for safeguarding and protecting sensitive taxpayer and employee information while promoting government transparency and accountability through better access to government information.

WHAT DOES A COMPUTER ENGINEER (DATA SYSTEMS) DO? As a Senior Data Scientist, you will perform a lead role in developing research studies, analyses, and projects that affect the programs and policies of the Internal Revenue Service (IRS). You will serve as lead or specialist on teams responsible for operations or programs. You will perform analysis, develop and verify hypothesis, concepts, and proposals in technical and analytical areas using latest computational systems, platforms, algorithms and tools; advanced quantitative methods and techniques (including Artificial Intelligence); and large data sets. Employ techniques and theories within mathematics, statistics, operations research, information science, and computer science, including distributed processing, signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, and high-performance computing. Apply data to develop and provide analytical support to all levels of management. Serve on division-wide and/or inter-agency initiatives, perform technical reviews of publications, assist management with administrative tasks, and improve division operating efficiencies.

As a Computer Engineer (Data Systems) you will:

  • Direct and mentor junior staff, review the work of other analysts including Data Scientists, provide feedback to management regarding staff performance, and demonstrate leadership in the office.

  • Provide highly technical advice to IRS executives as needed.

  • Provide leadership and direction to broad research projects of major policy importance, difficulty and complexity directed toward significant problems relating to goals and mission of IRS.

  • Responsible for defining the problem, formulating the concept, conducting analysis, evaluating findings, developing options/solutions and recommendations and effectively communicating them to key stakeholders in appropriate manner to position IRS to excel in its mission.

  • Lead, collaborate and co-ordinate the selection and deployment of necessary infrastructure, platforms and tools needed to execute the assignments.

  • Refine policy and business questions to develop hypothesis establish scope and methodology, identify and acquire internal and external data sets, metadata and other system, application or contextual information needed for specific analytic problems.

  • Prepare raw data from a diverse set of structured and unstructured formats by combining, cleaning, transforming and producing new formats that are usable for analytics.

  • Analyze and model data in all its forms (both structured and unstructured) using advanced statistical methods and implement algorithms and software needed to perform analyses.

WHERE CAN I FIND OUT MORE ABOUT OTHER IRS CAREERS? If you want to find out more about IRS careers, visit us on the web at www.jobs.irs.gov.

Travel Required

Occasional travel - 11 or more nights per month

Supervisory status

No

Promotion Potential
14

  • Job family (Series)
    0854 Computer Engineering

Similar jobs

  • Computer And Information Research Scientists

  • Computer Hardware Engineers

  • Computer Research Scientists

  • Engineers, Computer Hardware

  • Information Research Scientists

  • Scientists, Computer Research

  • Requirements

Help Requirements Conditions of Employment

  • Refer to "Other Information"

  • Click "Print Preview" to review the entire announcement before applying.

  • Must be a U.S. citizen or National

  • Qualifications

You must meet the following requirements by the closing date of this announcement:

BASIC REQUIREMENTS: (All grade levels) Four (4) year course of study in an accredited college or university leading to a bachelor's or higher professional engineering degree. The curriculum must: 1) be in a school of engineering accredited by the Accreditation Board for Engineering and Technology (ABET) or 2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: a) Statics, dynamics, b) strength of materials (stress-strain relationships), c) fluid mechanics, hydraulics, d) thermodynamics; e) electrical fields and circuits; f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. OR A combination of education and experience. The education must include courses equivalent to a major in engineering, as shown above. To be qualifying your experience must be sufficient to demonstrate: Thorough knowledge of the physical and mathematical sciences underlying professional engineering, and a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. This must be demonstrated by meeting one (1) of the following: 1. Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. 2. Written Test showing evidence of having successfully passed the Fundamentals of Engineering (FE) examination, or any other written test

required for professional registration. 3. Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences that included the courses specified in the basic requirements. 4. Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a degree in engineering, provided that you have had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance.

In addition to meeting the basic requirements described above, you must meet the following:

GRADE 14: At least one year of specialized experience equivalent to the grade 13 level that demonstrated extensive knowledge and technical understanding of the fundamental principles of professional engineering and scientific disciplines research, design, development integrated computer hardware/software information systems; Thorough knowledge of systems design principles and development methodologies; Thorough knowledge of information systems practices in areas such as applications development, systems integration, telecommunications, database management, security, and software engineering. At this level your experience should include formulating and applying new IS design principles based on broad architectural guidance; Participating in resolving mission critical agency-wide issues; Developing Service-wide information systems and providing recommendations.

Education


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Principle Manufacturing Data Scientist

Stanley Black And Decker

Posted 1 week ago

VIEW JOBS 10/10/2019 12:00:00 AM 2020-01-08T00:00 Job Description Joining the Stanley Black & Decker (SBD) team means joining one of the world's largest, fastest-growing, and most dynamic companies. SBD, a Fortune 200 company is a world-leading provider of tools and storage, commercial electronic security and engineered fastening systems, with unique growth platforms and a track record of sustained profitable growth. We have been globally recognized as one of the most innovative, sustainable, and rewarding companies in the world. Stanley Black & Decker has created this state-of-the-art manufacturing incubator to accelerate its global Industry 4.0 "smart factory" initiative across the entire organization. The 23,000-square foot facility will serve as a hub for the latest advancements in IoT, cloud computing, artificial intelligence, 3-D printing, robotics and advanced materials. This team will set the overall vision and strategy for the company's Industry 4.0 initiative and supply the resources and expertise necessary to serve as the epicenter for the latest technologies and processes with respect to Industry 4.0. Summary Stanley Black & Decker is looking for a Principle Manufacturing Data Scientist to join their Advanced Manufacturing Center of Excellence team. Since 1843, Stanley Black and Decker has been committed to innovation and social responsibility, while becoming a leader in multiple industries. In this position, one can expect to use their expertise in big data and advanced analytics to lead others to solve critical business problems. The role combines strong data science capabilities with a rigorous understanding of the use cases, nuances and challenges of deploying advanced analytics in a manufacturing environment. Essential Job Functions * A clear focus on delivering sustainable value to SBD's manufacturing plants at scale and speed. * Leverage big data, process knowledge, statistics and data science to discover patterns and solve strategic & tactical business problems using structured and unstructured data sets of varying size and contexts across multiple environments. * Take part in and lead value discovery workshops at SBD locations globally to identify potential use cases that drive improvements through analytics. * Develop analytic capabilities (e.g. models and processes) that drive better outcomes for both customers and the company. * Drive the collection, cleansing, processing and analysis of new and existing data sources. * Build, test, and deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets. * Report findings by creating useful and appropriate data outputs and visualizations tailored for the intended audiences. * Learn & stay current on analytics developments in manufacturing, Industry 4.0 and IIoT. * Learn & stay current on developments in one or more analytics domains: Optimization, Machine Learning, Deep Learning / AI, Simulation, etc. * Generate innovative ideas, establish new research directions, shape and execute the information strategy in support of technical projects and new product developments * Work with and support other team members, management, and partners. Essential Skills & Experience * Advanced degree (MS/PhD) in a relevant technical field (e.g., Computer Science, Mathematics, Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Econometrics) with 8+ years' experience in related data science, analytics, and model building roles. * Experience working with large complex data sets, real time/near real time analytics, and distributed big data platforms (Hadoop & MapReduce and/or Cassandra/Spark.) * Strong practical knowledge of analytical techniques and methodologies such as linear & logistic regression, multivariate statistical analysis, statistics, machine learning/supervised and unsupervised techniques, segmentation, mix and time series modeling, response modeling, lift modeling, experimental design, neural networks, data mining and optimization techniques. * Strong experience with Cloud based HaaS/PaaS solutions such as MS Azure, AWS EMR * Strong knowledge of analysis tools such as Python, R, MATLAB, Spark or SAS. * Strong background in applying statistical and machine learning techniques to enable predictive modeling and experience with Machine Learning libraries (via R, H2O, Python, Spark, etc.) * Proficiency in programming in Python, R, SQL, JavaScript, Java/Scala/Ruby and shell scripting * Proficiency in consuming REST based API (with JSON payload) is a plus. * Fluency in big data platforms including Hadoop, MapReduce, Hive, Spark, PIG * A strong understanding of data profiling and data cleansing techniques. * Familiarity with working with manufacturing, time-series potentially autocorrelated data. * Understanding of the strengths and weaknesses of AI technologies such as neural networks and machine learning – particularly when applied to manufacturing data sets. * Natural curiosity and a strong passion for empirical research and problem solving * Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership Competencies * Depth in relevant field(s) for data science, including: * Statistical Analysis & Modeling * Machine Learning Algorithms & Techniques * Deep Learning / Neural Networks * Optimization Techniques * Understanding Business Problems * Data Wrangling & Exploration * Problem Solving Mindset * Clear Communication * Technical Fluency All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status or any other protected characteristic. Stanley Black And Decker Hartford CT

Computer Engineer (Data Systems) (Data Scientist)

Department Of The Treasury