Databricks Data Scientist
Square Peg Technologies· enterprise· Executive Office· Aug 31, 2022 · 51mo agoPosted 1,519 days ago
Washington, DC, US
In office
Full-time
Mid
$100K–$160K est.
2+ years exp
Before you apply
Ghost Signal:
Open since August 30, 2022 — 1,519 days, and still accepting applications.
Job description
Clearance Level: Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph.
Location:
Northern Virginia
The Mission:
Square Peg is seeking a Data Scientist who can turn structure and unstructured data sets into useful information to solve challenges. You'll work closely with the customer and stakeholders to optimize business processes through data engineering and machine learning techniques and help integrate the developed models into a form useful to the organization. Using Databricks, which was named to both the Magic Quadrant for Cloud Database Management Systems and the Magic Quadrant for Data Science and Machine Learning Platforms, you'll using best in class technology to help our customer solve some of their most challenging data problems.
Don't know Databricks, no problem! Sign up for our extensive training program to be a part of shaping the future of AI/ML.
Basic Qualifications:
• 2+ years of experience with one or more of following programming languages: Python, Java, or SQL
• Experience with designing and executing machine learning models and applications
• Experience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcement
• Advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization
• Knowledge of Data Science Libraries (e.g. SparkML, Tensorflow, Sci-Kit Learn)
• Knowledge of applying time-series / regression analysis, clustering-methods, effectiveness testing (A-/B-hypotheses testing) to solve diverse business problems
• Experience cleaning data for data science applications
Preferred Qualifications:
• Knowledge in big-data technologies (Hadoop, Apache Spark, Databricks)
• Experience with business intelligence tools like Tableau
• Experience with data lakes/warehouses
• Experience with cloud services, including AWS, Azure, or Google Cloud
• Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models
• Possession of excellent verbal and written communication skills
• A self-motivated and proactive individual with a can-do attitude and the ability to work on projects and solve problems independently
Square Peg Technologies Company Information
Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering and data management. Our mission is to develop and integrate cutting edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person’s contribution, celebrate wins together and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top notch benefits to include a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage.
At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward leaning and eager to engage with customers, academia and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA and other prominent government agencies.
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Keywords to mirror
machine learningaimlpythonjavasqlawsazure
- Platform
- adp-workforce-now
- Effort
- medium
Benefits
Benefits detected in the listing.
401k
Professional Development