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Remote Geology Data Science Jobs in Tampa, FL (NOW HIRING)

... 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 ...

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

DATA SCIENTIST LEAD

Tampa, FL · On-site +1

$104.05K - $169.08K/yr

... implement data science algorithms (e.g. regression, classification and clustering techniques ... No opportunity for remote work. Doctorate degree in a related field and four (4) years of related ...

Lead Data Scientist

Tampa, FL · On-site +1

$142.30K - $195.70K/yr

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Lead Data Scientist

Tampa, FL · On-site +1

$142.30K - $195.70K/yr

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Data Platform Engineer

Tampa, FL · On-site +1

$108.20K - $129.90K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Lead Clinical Data Manager (Remote)

Tampa, FL · Remote

$68.50K - $217.10K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

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How much do remote geology data science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote geology data science in Tampa, FL is $115,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $128,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Geology Data Scientist, you need a solid background in geology, strong analytical skills, and proficiency in data science, typically supported by a degree in geosciences or a related field. Familiarity with programming languages (such as Python or R), GIS software (like ArcGIS or QGIS), and experience with data visualization and machine learning tools are commonly required. Excellent problem-solving abilities, attention to detail, and strong communication skills help convey complex geological insights to diverse stakeholders. These skills are crucial for analyzing large geoscientific datasets remotely, driving data-driven decision-making, and contributing valuable insights to geological projects.

What are some typical challenges faced by remote geology data scientists, and how can they be addressed?

Remote geology data scientists often encounter challenges related to collaborating with field teams, accessing large geospatial datasets, and ensuring data quality from a distance. Effective communication tools and regular virtual meetings help bridge the gap between remote and on-site teams. Utilizing cloud-based platforms for data storage and processing can facilitate access to large datasets, while standardized data collection protocols ensure consistency and accuracy. Building strong relationships with field personnel and staying proactive about potential data issues are key strategies for success in this role.

What is a Remote Geology Data Scientist?

A Remote Geology Data Scientist is a professional who analyzes geological data using advanced data science techniques, often working from a remote location. They apply statistical models, machine learning, and programming skills to extract insights from datasets related to earth sciences, such as mineral exploration, seismic activity, or environmental monitoring. Their work supports decision-making in industries like oil and gas, mining, and environmental consulting. Remote roles leverage digital tools and communication platforms to collaborate with teams and stakeholders from anywhere in the world.
What are the most commonly searched types of Geology Data Science jobs in Tampa, FL? The most popular types of Geology Data Science jobs in Tampa, FL are:
What are popular job titles related to Remote Geology Data Science jobs in Tampa, FL? For Remote Geology Data Science jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Remote Geology Data Science jobs in Tampa, FL look for? The top searched job categories for Remote Geology Data Science jobs in Tampa, FL are:
What cities near Tampa, FL are hiring for Remote Geology Data Science jobs? Cities near Tampa, FL with the most Remote Geology Data Science job openings:
Sr Data Scientist

Sr Data Scientist

Clark Associates

Tampa, FL • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Clark Associates rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

104th of 331 rated retail wholesalers


Job description

Data Scientist

Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization's analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization.

This role can be remote in some US states (See below for remote work requirements) or based in one of our offices (Lititz, PA or Tampa, FL).

Job Location

Remote: Legal residents of one of the following states: AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY

We only accept W-2 candidates, H-1B sponsorship is not available.

Responsibilities

Responsibilities include, but are not limited to:

  • Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization.
  • Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance.
  • Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive).
  • Partnering with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions.
  • Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy.
  • Work with other data scientists to design and implement experiments and glean actionable insights from experimental analyses.
  • Defend and explain the validity of predictive/ML models to those without a background in data science or statistics.
  • Actively research new tools and technologies, staying on top of analytics news and best practices.

Physical Requirements

  • Work is performed while sitting/standing and interfacing with a personal computer.
  • Requires the ability to communicate effectively using speech, vision, and hearing.
  • Requires the regular use of hands for simple grasping and fine manipulations.
  • Requires occasional bending, squatting, crawling, climbing, and reaching.
  • Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.

Qualifications

Experience

  • Minimum 5 years of work experience in Data Science, or a PhD in math, statistics, economics, or a modeling-related field.
  • Advanced Python and SQL skills.
  • You have a proven ability with statistical methods and advanced modelling techniques; extra points if you have experience with one or more of the following: ecommerce search, recommendation engines, dynamic pricing, or user matching/data cleanrooms.

Education

This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.

Desired Traits & Skills

The ideal candidate will possess the following qualities:

  • You Communicate Effectively: Ability to explain ideas simply and confidently to team members both written and verbally.
  • You have an Entrepreneurial Spirit: Takes it upon themselves to find ways to add value to the team and business. They are self-motivated and creative in their quest to find actionable insights and new solutions. They can often be found saying "What if we tried this?" or "Maybe this is a better way to do it?" They have a knack for overcoming obstacles.
  • You Desire to Grow: Constantly seek to improve themselves and expand their professional knowledge and skill set.
  • You're an inquisitive, out-of-the box thinker who's continually on the lookout for opportunities to improve and innovate data science solutions.
  • You have consistently high standards; your passion for quality is inherent in everything that you do.
  • Familiarity with a variety of supervised/unsupervised/reinforcement learning methods.
  • Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects.
  • You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales models for the production environment.
  • You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose.

Apply Now


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