Databricks Data Scientist (TS/SCI) - ML & Data Engineering

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

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).