Data Scientist at Skylight

Skylight 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.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 Ability to travel from time to time (when it's safe) We focus on supporting you in a variety of ways: Competitive salary Medical insurance, dental insurance, vision insurance Short-term and long-term disability insurance Life and AD&D insurance Dependent care FSA, healthcare FSA, health savings account Dollar-for-dollar 401(k) match up to 10% of your salary Flexible paid-time-off policy (minimum of 29 days), which covers any type of leave (such as holiday, sick, and vacation) that you need or want to take Minimum of 9 weeks paid time off for all eligible new birth, adoption, or foster parents Performance rewards, including annual salary increase, annual performance bonus, spot bonuses, and stock options Business development / sales bonuses Referral bonuses Annual $2,000 allowance for professional development Annual $750 allowance for tech-related purchases Annual swag budget of $50 to display your Skylight pride with some merchandise (hoodies, hats, and more) Dollar-for-dollar charity donation matching, up to $500 per year Access up to $1,000 before payday to cover emergency expenses Remote-friendly work environment An environment that empowers you to unleash your superpowers for public good 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.We're an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.