Databricks Data Scientist: AI/ML for Data Solutions

ADP, Inc.; Washington (District of Columbia); On-site; USD 90,000 - 130,000; Full time

Job summary

Square Peg Technologies is seeking a Databricks Data Scientist to turn structured and unstructured data into actionable insights for our Washington, DC-area clients. You will collaborate with customers and stakeholders to optimize business processes using data engineering and machine learning techniques.

You will leverage SparkML, TensorFlow, and Sci-Kit Learn to build models and deploy solutions on Databricks.

Qualifications

• 2+ years of experience with Python, Java, or SQL.
• Experience 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.

Responsibilities

• Turn structure and unstructured data into actionable information to solve challenges.
• Work closely with the customer and stakeholders to optimize business processes through data engineering and ML techniques.
• Help integrate the developed models into a form useful to the organization.

Skills

Python

Machine learning

Statistics

Data wrangling

Tools

SparkML

TensorFlow

SciKit-Learn

SQL

Job description

Square Peg Technologies is seeking a Databricks Data Scientist to turn structured and unstructured data into actionable insights for our Washington, DC-area clients. You will collaborate with customers and stakeholders to optimize business processes using data engineering and machine learning techniques.

You will leverage SparkML, TensorFlow, and Sci-Kit Learn to build models and deploy solutions on Databricks.