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Senior Data Analyst Machine Learning Jobs in Louisiana

TSS Data Analyst Senior

Bossier City, LA · Hybrid

$85K - $107K/yr

As a Data Analyst Senior, you will help ensure today is safe and tomorrow is smarter. Our work ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

TSS Data Analyst Senior

Bossier City, LA · Hybrid

$85K - $107K/yr

As a Data Analyst Senior, you will help ensure today is safe and tomorrow is smarter. Our work ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

... Databricks, Azure Machine Learning, Azure Data Lake) or similar cloud platforms (AWS/GCP ... Analytical skills * Organizational skills * Strategic Planning * Data Collection and Analysis

Responsibilities Data Analyst Duties * Identify relevant data required to effectively analyze and ... Create reports in Excel that are easily understandable by the senior management team, and provide ...

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Senior Data Analyst Machine Learning information

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Louisiana?

The most popular types of Data Analyst Machine Learning jobs in Louisiana are:

What are popular job titles related to Senior Data Analyst Machine Learning jobs in Louisiana?

For Senior Data Analyst Machine Learning jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Machine Learning jobs in Louisiana look for?

The top searched job categories for Senior Data Analyst Machine Learning jobs in Louisiana are:

What cities in Louisiana are hiring for Senior Data Analyst Machine Learning jobs?

Cities in Louisiana with the most Senior Data Analyst Machine Learning job openings:

TSS Data Analyst Senior

GDIT

Bossier City, LA • Hybrid

$85K - $107K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

87th of 224 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Secret

Clearance Level Must Be Able to Obtain:

Secret

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Agile Methodology, People Leadership, Structured Query Language (SQL), Tableau Desktop, Tableau Server

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

Deliver insights to help our clients turn data into action as a Data Analyst Senior at GDIT. Your work will provide transformative solutions to our clients' big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients' mission and on your career.

At GDIT, people are our differentiator. As a Data Analyst Senior, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Data Analyst Senior joining our team to develop customer dashboards, perform deep dive analytics, and deliver customer solutions. As a Data Analyst Senior, you will support customers within GDIT to fulfill multiple federal agency missions.

The TSS Data and Analytics team uses a variety of tools including Azure and Azure DevOps, AWS, and Tableau. The Tableau dashboards provide program management and financial dashboards to customers allowing them to manage risk and provide the essential reporting to their government customers.

GDIT is committed to fostering economic growth and prosperity in Louisiana with an established operation at our Integrated Technology Center in Bossier City, LA. This position requires 3 days of work per week at our office.

HOW A DATA ANALYST SENIOR WILL MAKE AN IMPACT:

  • Conduct market research and define industry best practices for decision-making
  • Creating, refining, and delivering reports, dashboards, and database solutions for internal or external purposes
  • Mentor a small team of Data Analysts in support of development initiatives
  • Utilize Power BI, Power Apps, excel, and/or other business intelligence tools
  • Provide data analytics and key insights
  • Highlight and define Key Performance Indicators (KPIs) to measure performance across different sections
  • Collaborate with a team of developers, analysts, and engineers to determine feature requests, priorities, dashboards, and solutions.
  • Writing user stories, acceptance criteria, test plans, and retrospectives to improve Agile development processes.
  • Performing Quality Assurance (QA) testing of new features to ensure that requirements are met, and the resulting user experience works as intended.
  • Participating in and supporting user acceptance testing and the deployment of the solution to production.
  • Preparing and conducting presentations and training materials.
  • Creating and maintaining documentation.
  • Collaborate with a team of developers, analysts, and engineers to deliver on-time Agile sprint releases.

WHAT YOU'LL NEED TO SUCCEED:

Education: BA/BS (or equivalent years of experience)

Required Experience: 5+ years of experience

Security Clearance Level:Must possess and maintain an active Secret clearance

US Citizenship Required

Required Skills and Abilities:

  • Strong experience leveraging Structured Query Language (SQL), specifically developing tables, views, and stored procedures
  • Strong experience developing dashboards using Power BI or equivalent business intelligence tools to create professional content
  • Experience leveraging Databricks or similar toolsets
  • Experience with Python
  • Experience with leading/managing and mentoring a small team of Data Analysts in support of development initiatives
  • Strong Excel background; familiarity with other Microsoft tools (Outlook, Word, Excel, PowerPoint)
  • Ability to effectively manage multiple competing priorities at any given time.
  • Good team player, able to manage multiple assignments, and adapt to changing client needs.
  • Outstanding communication skills with the ability to present to business leaders.
  • Strong analytical and problem-solving skills
  • Ability to work independently and part of a team
  • Knowledge of Agile methodology
  • Familiarity with Azure DevOps or similar tool(s)
  • Strong project management skills, ability to work towards a deadline and lead a small team of analysts

Work Location: Candidates must reside within the state of Louisiana and be able to work a hybrid schedule at GDIT's Integrated Technology Center in Bossier City, LA.


GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Flexibility: Full-flex work week to own your priorities at work and at home
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $85,000 - $115,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Hybrid

Work Location:

USA LA Bossier City

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US