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Data Science Visualization Jobs in Louisiana (NOW HIRING)

$81K - $108K/yr

... with Data Science team on Media Mix Modeling analysis outcomes and budget allocation ... data visualization and data-driven storytelling Fluency in SQL, Python, or other scripting ...

Linear Algebra Tutor

New Orleans, LA ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Linear Algebra Tutor

Baton Rouge, LA ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

FP&A Tech, Anaplan Director

New Orleans, LA ยท On-site

$155K - $410K/yr

... visualization software to present complex financial data in an accessible format - Mentoring and ... Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ...

... visualization - Implementing data security best practices to protect sensitive information and ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

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Data Science Visualization information

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Louisiana? For Data Science Visualization jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Louisiana look for? The top searched job categories for Data Science Visualization jobs in Louisiana are:
What cities in Louisiana are hiring for Data Science Visualization jobs? Cities in Louisiana with the most Data Science Visualization job openings:
Junior Computer Vision Engineer (CNN)

Junior Computer Vision Engineer (CNN)

SynergisticIT

Bossier City, LA โ€ข On-site

Other

Posted 10 days ago


Job description

SYNERGISTICIT for the past 15 years has helped Jobseekers differentiate themselves by providing the clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers.
All Positions are open for all visas and US citizens
We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this economy no client wants or has the resources to take an entry level person and spend resources on upgrading their skills and on top of that pay the jobseeker. That's the specific reason there are so many techies both experience and freshers who are unemployed.
Clients have now the option to hire remote workers from anywhere so for a Jobseeker its important to introspect and see how they can become better and have the skills and technologies to meet client requirements.
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry
We welcome candidates with all visas and citizens to apply.
If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.
please check the below links to see success outcomes of our candidates
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If you have relevant skills and industry experience, please apply
For preparing for interviews please visit
https://www.synergisticit.com/interview-questions/
REQUIRED SKILLS For Java /Software Programmers
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, javascript , C++ or software programming
  • Spring boot, Microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
  • Excellent written and verbal communication skills
Preferred skills: Databricks, Snowflake, Text mining, Tableau, PowerBI, Time series analysis
Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients.
No third party candidates or c2c candidates
please only apply to the posting
If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.
No phone calls please. Shortlisted candidates would be reached out.