Senior Data & AI Engineer — Actionable Dashboards (TS/SCI)

Nyla Technology Solutions; Maryland; On-site; USD 152,000 - 180,000; Full time

Benefits offered by this job

Nyla FLEX program

4 weeks annual leave

11 holidays

Health care (medical, dental, vision)

401k matching 10%

Professional development $5,000/year

Student loan repayment

Volunteer time

Job summary

Nyla Technology Solutions is seeking a senior data scientist/engineer to own the data pipeline from aggregation to visualization. You will build clear dashboards using Python and Jupyter, transforming raw data into actionable insights for decision-makers.

Ideal candidates have 7+ years of experience in data science, analytics, or software engineering, or a Master’s in a related field, and are comfortable working with large-scale customer data.

Qualifications

• Strong Python expertise and experience with Jupyter Notebooks for data work.
• Ability to translate raw data into clear visual stories and dashboards.
• Experience handling large, complex customer dataflows and data pipelines.
• Detail-oriented data curation and quality assurance skills.
• Advanced degree with 7+ years of data science, analytics, or software engineering, or equivalent senior experience.

Responsibilities

• Own end-to-end data pipeline from data aggregation to visualization.
• Build clear dashboards and visual stories to empower decision-makers.
• Curate and maintain pristine customer dataflows and datasets.

Skills

Python

Jupyter Notebooks

Data Visualization

Dashboards

Data Pipelines

Data Curation

Data Analysis

Education

Bachelor’s Degree in Data Science

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Statistics or Mathematics

Master’s Degree in Related Field

11+ years hands-on experience in lieu of degree

High School Diploma / GED + 11+ years experience

Tools

PySpark

Hadoop

ElasticSearch

Job description

Nyla Technology Solutions is seeking a senior data scientist/engineer to own the data pipeline from aggregation to visualization. You will build clear dashboards using Python and Jupyter, transforming raw data into actionable insights for decision-makers.

Ideal candidates have 7+ years of experience in data science, analytics, or software engineering, or a Master’s in a related field, and are comfortable working with large-scale customer data.