Data center lead Work, Jobs in Lyneham, Wil (with Salaries)

Data Scientist
Clarity Innovations, LLC —Mildenhall
- Engineering
- Java
- Master's degree
7d
HR Business Partner, PXT
Amazon UK Services Ltd. —Swindon
- Full-time
- Management
- English
- Master's degree
Product Owner
Keyloop —Hungerford
- £46,800 - £57,200 a year
- Computer Science
- Engineering
- English
13d
Functional Engineering Leader - NPI, Sustaining Engineering & Innovation (m/f/d)
TE Connectivity —Swindon
- Engineering
- Bachelor's degree
- Travel
- Health & wellbeing programme
- Employee stock purchase plan
13d
HR Business Partner
Amazon UK Services Ltd. —Swindon
- Full-time
- Management
- Microsoft Office
- Master's degree
Distribution Accounts Manager
SonicWall —Cirencester
- Remote
- Sales
- Salesforce
- English
Quick apply
Security Program Manager, AWS DC Security
Amazon Data Services UK Limited —Swindon
- Full-time
- Up to 50% travel
- PMP
- AWS
Product Certification Engineer
ABB Limited —Stonehouse
- Engineering
- ERP systems
- English
- Annual leave
- Employee assistance programme
Quick apply
10d
Kitchen Team Leader / Chef de Partie - American Diner
Center Parcs —Warminster
- £15.05 an hour
- Weekend availability
- Bar
- Kitchen experience
- Employee discount
6d

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HR Business Partner, PXT
Amazon UK Services Ltd. —Swindon
From coaching leadership teams on workforce management to driving HR process excellence, you'll collaborate with Field leaders on operational objectives and…
HR Business Partner
Amazon UK Services Ltd. —Swindon
You’ll be based in an Amazon fulfilment centre, delivery station or sortation centre and will frequently use data to inform key decisions.

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data center lead jobs near lyneham, wil

Data Scientist

Clarity Innovations, LLC -
Mildenhall

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Job details

7 days ago

Qualifications

Power BI
Data mining
Engineering
Spark
NumPy
R
Tableau
Java
Master's degree
SQL
Pandas
C++
Maths
Bachelor's degree
Machine learning
SciPy
Natural language processing
Data science
Communication skills
Python
Hadoop

Full job description

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.

We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.

Role

This role is for a Data Scientist on a close-knit team supporting Air Force Special Operations Command (AFSOC) at RAF Mildenhall, UK. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.

Responsibilities

A Data Scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.

Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an 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. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.

The Data Scientist shall perform the following tasks:

Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
Coordinate with Data Engineers to build Data environments providing data identified by other data professionals
Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data.
Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.

Requirements

A minimum of 1 year of hands-on Data Science experience is required.
Bachelor's Degree in a STEM field is required.
Proficient with one or more programming languages (Java, C++, Python, R, etc.)
Demonstrated ability to apply data science to solve real-world problems
Secret Clearance

Preferred Qualifications

Familiarity with DoD
Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
Familiarity with Envision
Top Secret clearance with SCI eligibility

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Apply Now

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data center lead jobs in lyneham, wil

Data Scientist

HR Business Partner, PXT

Product Owner

Functional Engineering Leader - NPI, Sustaining Engineering & Innovation (m/f/d)

HR Business Partner

Distribution Accounts Manager

Security Program Manager, AWS DC Security

Product Certification Engineer

Kitchen Team Leader / Chef de Partie - American Diner

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