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Remote Data Science R Jobs in Florida (NOW HIRING)

Key Responsibilities: • Working on projects leveraging your expertise in data science, artificial ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Key Responsibilities: • Working on projects leveraging your expertise in data science, artificial ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Key Responsibilities: • Working on projects leveraging your expertise in data science, artificial ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor ... Proficiency in programming languages such as Python or R * Experience working with large datasets ...

Phoenix Arizona will get first preference, Remote is ok Time zone: PST Time zone Senior Data Scientist : Duration is one-year, preferable work location is Phoenix location. But remote working in the ...

... Science team. The Data Scientists are responsible for supplying statistical rigor to the ... This role can be remote in some US states (See below for remote work requirements) or based in one ...

Principal Data Scientist

Jacksonville, FL · On-site +1

$130K - $165K/yr

What We Are Looking Fo r • Bachelor's degree (Master's preferred) in Data Science, Computer ... remote position. Compensation: $130,000.00 - $165,000.00 per year About StrategyGen Empowering ...

Austin, TX 78757 (or) Tampa, FL 33602 - Remote Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

Tampa, FL · On-site +1

$126.47K - $205.52K/yr

We are seeking a data science manager to assist us with developing and managing a large repository ... NO OPTION FOR HYBRID OR REMOTE. Doctorate degree in a related field and seven (7) years of related ...

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Remote Data Science R information

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What cities in Florida are hiring for Remote Data Science R jobs? Cities in Florida with the most Remote Data Science R job openings:
Senior Data Scientist

Senior Data Scientist

NTT DATA Services

Tampa, FL • On-site, Remote

Full-time

Posted 4 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

106th of 203 rated it services


Job description

Req ID: 365630 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Data Scientist to join our team in Tampa, Florida (US-FL), United States (US).

Job Duties: NTT is seeking a Data Scientist / ML engineer with 7+ years of experience. This person should be comfortable with the following:

- Driving new data insights to uncover business opportunities & revenue streams.

- Have a firm understanding of statistics and data visualization for communication.

- Has an understanding of business growth areas & how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.

- Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions

- Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.

- Be experienced in Data Wrangling and Dynamic Model Tuning.

Key Responsibilities:

• Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning

• Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.

• Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.

• Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.

• Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.

• Work with data sets of varying degrees of size and complexity including both structured and unstructured data.

• Piping and processing massive data-streams in distributed computing environments.

• Implement batch and real-time model scoring.

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Apply business knowledge to analyze data, develop reports and solve problems ·Perform ad hoc analyses of data depending on business needs.

• Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.

Basic Qualifications:

• 7+ years of experience supporting data science projects in a consulting environment.

• 7+ year(s) of experience participating in projects that focused on one or more of the following areas:

o Predictive Analytics

o Data Design

o Statistics

o AI/ML

o ML Ops

• 7+ years of experience using Python and/or R to analyze disparate datasets.

Preferred Skills:

• Master’s degree preferred.

• Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.

• You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible "can-do" attitude, and a commitment to success.

• Professional verbal and written communication.

• Undergraduate or Graduate degree preferred

• 1+ year of Gen AI / LLM hands on development experience

• Ability to drive individual hands on development plus oversee more junior developers / engineers

Minimum Skills Required:

• 7+ years of experience supporting data science projects in a consulting environment.

• 7+ year(s) of experience participating in projects that focused on one or more of the following areas:

o Predictive Analytics

o Data Design

o Statistics

o AI/ML

o ML Ops

• 7+ years of experience using Python and/or R to analyze disparate datasets.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967