WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Mid-Level Data Scientist [$294k/yr+]

SYSTOLIC, INC.
Herndon, VA, United States
about 2 months ago
Apply on www.clearancejobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
8 years minimum
Compensation
$294,000.0
Working hours
Regular working hours
Job source
www.clearancejobs.com

Tech stack

Data Systems Machine Learning Data Pipelines

Job description

  • Analyze and interpret complex datasets.
  • Develop and deploy predictive models and machine learning algorithms.
  • Collaborate with engineering and product teams to integrate data solutions.
  • Communicate findings and insights to technical and non-technical audiences.
  • Contribute to the design and implementation of data pipelines and architectures.

Requirements

  • Degree: Technical bachelor’s degree or equivalent experience
  • Years of experience: 8+ years
  • Total Compensation: $294k+ yearly (tentative)

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · World Congress 2024

Videos

See all
DataForce Studio thumbnail
4:14
World Congress 2025 • about 1 year ago

DataForce Studio

Iryna Kondrashchenko, Oleh Kostromin

Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
World Congress 2024 • about 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Modern Data Architectures need Software Engineering thumbnail
29:25
World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

Related articles

See all