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Julia Jobs (NOW HIRING)

Develop and maintain algorithms, scripts, and micro‑services (Python, R, Julia, SQL) to automate data ingestion, processing, geoprocessing, and analytics workflows. * Design and deploy models for ...

Develop and maintain algorithms, scripts, and micro-services (Python, R, Julia, SQL) to automate data ingestion, processing, geoprocessing, and analytics workflows. * Design and deploy models for ...

Julia Donovan: (667) 309-9955 julia@odysseia.one * Alla Martin: (667) 354-5699 alla@odysseia.one * Olha Alison: (667) 400-4577 olha@odysseia.one * Mary Kolten: (667) 239-2774 mary@odysseia.one

Julia Donovan: (667) 309-9955 julia@odysseia.one * Alla Martin: (667) 354-5699 alla@odysseia.one * Olha Alison: (667) 400-4577 olha@odysseia.one * Mary Kolten: (667) 239-2774 mary@odysseia.one

Julia Donovan: (667) 309-9955 julia@odysseia.one * Alla Martin: (667) 354-5699 alla@odysseia.one * Olha Alison: (667) 400-4577 olha@odysseia.one * Mary Kolten: (667) 239-2774 mary@odysseia.one

Julia Donovan: (667) 309-9955 julia@odysseia.one * Alla Martin: (667) 354-5699 alla@odysseia.one * Olha Alison: (667) 400-4577 olha@odysseia.one * Mary Kolten: (667) 239-2774 mary@odysseia.one

Julia Donovan: (667) 309-9955 julia@odysseia.one * Alla Martin: (667) 354-5699 alla@odysseia.one * Olha Alison: (667) 400-4577 olha@odysseia.one * Mary Kolten: (667) 239-2774 mary@odysseia.one

Julia Donovan: (667) 309-9955 julia@odysseia.one * Alla Martin: (667) 354-5699 alla@odysseia.one * Olha Alison: (667) 400-4577 olha@odysseia.one * Mary Kolten: (667) 239-2774 mary@odysseia.one

Julia Donovan: (667) 309-9955 julia@odysseia.one * Alla Martin: (667) 354-5699 alla@odysseia.one * Olha Alison: (667) 400-4577 olha@odysseia.one * Mary Kolten: (667) 239-2774 mary@odysseia.one

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Julia information

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How much do julia jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for julia in the United States is $16.64, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $18.75 per hour, depending on experience, location, and employer.

What is the difference between Julia vs Python?

AspectJuliaPython
Required CredentialsBachelor's in Computer Science or related; some roles may prefer a master'sBachelor's in Computer Science or related; widely accepted certifications
Work EnvironmentResearch labs, data science, high-performance computingWeb development, data analysis, automation, general programming
Industry UsageScientific computing, numerical analysis, academiaSoftware development, data science, AI, web apps
Search & Comparison IntentJulia vs Python for data science or scientific computingPython vs Julia for programming or data analysis

Julia and Python are both popular programming languages used in data science and scientific computing. Julia is known for high-performance numerical analysis and is favored in research environments, while Python offers a broader range of applications, extensive libraries, and a larger community. The choice depends on specific project needs, performance requirements, and industry focus.

What are Julia developers?

Julia developers are software professionals who specialize in using the Julia programming language to build applications, perform data analysis, and solve complex computational problems. Julia is known for its high performance in numerical and scientific computing, making it popular in fields like data science, machine learning, and scientific research. Julia developers often work on projects that require efficient data processing, simulations, or mathematical modeling, and they typically have strong backgrounds in programming, mathematics, or engineering.

What are the key skills and qualifications needed to thrive as a Julia Developer, and why are they important?

To thrive as a Julia Developer, you need strong programming skills in Julia as well as a background in mathematics, data science, or engineering, often supported by a relevant degree. Familiarity with Julia's package ecosystem, version control systems like Git, and experience with data analysis or scientific computing libraries are typical requirements. Problem-solving ability, attention to detail, and effective communication are essential soft skills that help developers collaborate and innovate. These competencies are crucial for building high-performance applications, ensuring code quality, and contributing to cross-disciplinary team success.

What are some common challenges faced when working as a Julia developer in a collaborative data science team?

As a Julia developer in a data science team, one common challenge is ensuring compatibility and smooth integration with existing tools and workflows, which are often based in Python or R. You may also encounter situations where library support in Julia is less mature, requiring creative problem-solving or contributing to open-source packages. Effective communication with teammates who may be less familiar with Julia is important for knowledge sharing and successful project delivery. Regular collaboration and documenting your work can help bridge these gaps and foster a productive team environment.
More about Julia jobs
What cities are hiring for Julia jobs? Cities with the most Julia job openings:
What states have the most Julia jobs? States with the most job openings for Julia jobs include:
Infographic showing various Julia job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $34,606 per year, or $16.6 per hour.
Data Scientist Expert

Data Scientist Expert

SOSi

Fort Eisenhower, GA • On-site

Full-time

Posted 22 days ago


Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

**This position is contingent upon award of contract** 

SOSi is seeking a Data Scientist Expert to support GEOINT mission requirements for US Army Intelligence and Security Command (INSCOM). The role involves applying advanced statistical, computational, and machine learning techniques to solve complex analytical problems and generate mission‑critical insights. This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and operationalize high‑value analytical models. The Data Scientist Expert integrates tabular, geospatial, and unstructured data sources; develops custom scripts and algorithms using languages such as Python, R, or Julia; and produces sophisticated analytical outputs that support operational, intelligence, and enterprise‑level decision‑making.

Essential Job Duties:

  • Perform predictive and prescriptive analytics to identify trends, patterns, and anomalies in large datasets; validate, document, and optimize all models for operational use.
  • Collect, clean, and fuse structured and unstructured data from multiple sources; design and maintain scalable data pipelines that ensure quality, lineage, and reliability at enterprise scale.
  • Apply logistic regression, clustering, PCA, NLP, neural networks, deep learning, and related techniques to deliver insights otherwise unobtainable and to meet mission objectives.
  • Develop and maintain algorithms, scripts, and micro‑services (Python, R, Julia, SQL) to automate data ingestion, processing, geoprocessing, and analytics workflows.
  • Design and deploy models for object detection, image classification, feature extraction, and activity recognition using modern ML frameworks; implement testing, performance tuning, and MLOps practices.
  • Build actionable dashboards and visualizations; deliver clear reports, charts, and multimedia presentations that translate technical findings into mission‑relevant decisions.
  • Employ geospatial scientific principles and GIS tools to integrate location‑based data and models; support GEOINT workflows and (where applicable) NSG TCPED processes.
  • Administer, query, and optimize tabular and geospatial datasets; leverage SQL and spatial databases while enforcing metadata standards, governance policies, and data stewardship.
  • Operate within TS/SCI/SSBI requirements; implement security, privacy, and access controls across data, models, and tooling to meet DoD/IC policies and program standards.
  • Work within Scrum/Kanban/Lean frameworks; partner with stakeholders to define requirements, iterate solutions, and evaluate emerging tools/algorithms—recommending innovations that improve analytical outcomes and mission impact.
Qualifications

Minimum Requirements:

  • MA or MS from an accredited institution of higher learning in a STEM-related discipline AND 5 years of relevant experience; OR
    • BA/BS degree in a STEM-related discipline AND 10 years of relevant experience
  • Demonstrated mastery and employment of geographic and geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience.
  • Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering techniques, neural networks, deep learning models, image recognition and algorithm employment or development in support of any of the foregoing.
  • Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
  • Familiarity with agile software development project management frameworks (e.g., Scrum, Kanban, Lean, etc.) to deliver new capabilities.
  • Demonstrated experience and proficiency with tabular analysis, SQL, and scripting languages (e.g., Python, R, Julia, etc.) to deliver unique insights otherwise unobtainable.
  • Current, active TS/SCI security clearance with Single Scope Background Investigation (SSBI)

Preferred Qualifications:

  • Experience working with IT, business, or operational metrics platforms (e.g., Splunk, Elastic, Confluence, etc.)
  • Certification in AWS (AI/ML specialty).
  • Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing, exploitation and dissemination (TCPED) production chain.
  • Experience working within a DoD or Intelligence Community (IC) operational environment and with DoD/IC geospatial data repositories.
  • Familiarity with Army, DoD or IC GEOINT or Geospatial processes, policy and programs.
  • Experience with Microsoft Office tools to deliver reports, graphics and briefings.

Additional Information

Work Environment

  • Normal office conditions
  • The primary performance location for this contract will be Fort Gordon, Georgia. The Government reserves the right to require contract performance at alternate locations, as dictated by mission requirements, and these locations may be subject to change.
  • Additional performance locations are as follows:
    • MacDill AFB, Florida
    • Buckley SFB, Colorado
    • Springfield, Virginia
  • Potential performance locations may include the following:
    • Vicenza, Italy
    • Wiesbaden, Germany
    • Fort Shafter, Hawaii

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.