Databricks Data Scientist

Square Peg Technologies; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Large vacation allowance

Annual bonuses

401k matching

Paid training

100% health care coverage

Job summary

Square Peg Technologies is seeking a Data Scientist in Northern Virginia to turn structured and unstructured data into actionable insights. You will collaborate with customers and stakeholders, optimize business processes with data engineering and ML, and integrate models into usable systems.

The role requires experience building ML models, statistical methods, and familiarity with SparkML/TensorFlow/Sci-Kit Learn, plus exposure to big-data tools (Databricks, Hadoop, Spark).

Qualifications

• 2+ years of experience with Python, Java, or SQL
• Experience with designing and executing machine learning models and applications
• Experience with building statistical models and developing ML algorithms (supervised, unsupervised, reinforcement)
• Advanced math and statistics with programming and ability to present results clearly
• Knowledge of data science libraries (SparkML, TensorFlow, Sci-Kit Learn)
• Knowledge of time-series/ regression analysis, clustering, and hypothesis testing
• Experience cleaning data for data science applications
• Experience with Hadoop, Apache Spark, Databricks
• Experience with Tableau and BI tools
• Experience with data lakes/warehouses
• Experience with cloud services (AWS, Azure, Google Cloud)
• Experience with DataOps, DevSecOps, and MLOps for operationalizing models
• Excellent verbal and written communication
• Self-motivated, proactive, able to work independently

Responsibilities

• Turn structured and unstructured data into actionable information
• Collaborate with customer and stakeholders to optimize business processes through data engineering and ML
• Develop and deploy ML models and data pipelines
• Integrate models into usable business solutions and operational environments
• Leverage Databricks and cloud platforms for data science projects

Skills

Python

Java

SQL

ML modeling

Statistical modeling

SparkML

TensorFlow

Sci-Kit Learn

Time-series analysis

Data cleaning

Communication

Self-motivation

Data analysis

A/B Testing

Clustering

Regression analysis

Big-data tech

Hadoop

Apache Spark

Databricks

Tableau

Data lakes/warehouses

AWS

Azure

Google Cloud

MLOps

DevSecOps

Tools

Databricks

Apache Spark

Hadoop

TensorFlow

Sci-Kit Learn

SparkML

Tableau

Data lakes/warehouses

AWS

Azure

Google Cloud

MLOps

DevSecOps

Job description

Job Description

Job Description

Clearance Level:

Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph.Location:Northern VirginiaThe 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 withone or more of followingprogramming 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.