Data Scientist

Skylight


2 months ago

11/16/2019 10:28:26

Job type: Full-time

Hiring from: US only

Category: All others


Skylight (https://skylight.digital/) is at the forefront of a civic movement to reinvent how the government serves the public in a digital world.

We’re looking for a Data Scientist to join our talented team of technologists in driving this movement forward.

You’ll be a key part of our small, but rapidly growing team, which consists of former Presidential Innovation Fellows, founders of 18F, and members of the U.S. Digital Service.

We work in small, fast, agile teams to create exceptional customer experiences and enduring solutions out of the government’s most complex design and technology challenges. The work is challenging, but highly rewarding.

Requirements

What you’ll do:

  • Identify valuable data sources and automate collection processes

  • Undertake preprocessing of structured and unstructured data

  • Analyze large amounts of information to discover trends and patterns

  • Build predictive models and machine-learning algorithms

  • Combine models through ensemble modeling

  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges

  • Select and use the right tools, frameworks, languages, and technologies for the job, with a preference for open-source solutions

  • Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists

  • Represent Skylight's culture of delivery when interacting with government stakeholders and other contractors

What we’re looking for:

  • In-depth knowledge of computer science, statistics, and/or mathematics

  • Experience using advanced statistical and data-mining techniques such as regression, properties of distributions, and statistical tests

  • Expertise in programming languages/frameworks such as Java/Scala, R, Python, and SQL

  • Experience with distributed data/computing tools such as Spark, Hadoop, and Hive

  • Experience using web services such as Redshift and S3

  • Expertise in machine learning and deep-learning libraries such as Scikit-Learn, TensorFlow, Keras, PyTorch, and Apache Spark MLlib

  • Experience using business intelligence tools such as Tableau, SAS, Microstrategy, and Looker

  • Experience working with notebooks such as Jupyter, Zeppelin, and Databricks Notebook

  • Experience visualizing/presenting data to stakeholders using tools such as Matplotlib, Seaborn, and D3

  • Strong analytical and problem-solving skills

  • Strong business acumen and curiosity

  • A drive to learn and master new technologies and techniques

  • Ability to select and use the right tools for the job, particularly open-source solutions

  • Ability to communicate clearly to technical and non-technical audiences

  • Experience working within a multidisciplinary, agile team format

  • A mindset and work approach that aligns with our core values (https://skylight.digital/culture/)

  • Able to travel from time to time

Benefits

We focus on supporting you in a variety of ways:

  • Competitive salary

  • Profit-sharing and/or bonus opportunities

  • Health insurance, including medical, dental, vision, and more

  • 401k match at 10% of your salary

  • Unlimited paid time-off policy

  • $2,000 continuing education allowance, including conference events

  • Incentives for living in a HUBZone area (https://maps.certify.sba.gov/hubzone/map), including relocation assistance and a monthly stipend to help offset the cost of rent or mortgage. (Read more about us being a HUBZone: https://skylight.digital/about/#hubzone.)

  • Time to focus on activities such as learning & development, open-source projects, and community outreach

  • An environment that empowers you to unleash your superpowers for public good

  • Note that we participate in E-Verify and upon hire, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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