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Remote Data Science Jobs in Spring, TX (NOW HIRING)

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

SR Data Engineer

Houston, TX · On-site +1

$109.30K - $131.20K/yr

This position is remote but may follow a hybrid schedule for candidates located within 60 miles of ... Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent ...

These are remote field-based roles. Purpose of Role The Medical Science Liaison (MSL) is ... Critical data analysis skills * Ability to function well, both independently and within a team ...

Bachelors degree in Computer Science, Engineering, Mathematics, or related field. * At least 2 ... Flexible, remote work environment. * Placement with international clients upon certification.

Work with delivery teams, data science teams, and client stakeholders to troubleshoot issues ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

Strong Understanding of machine learning concepts and data science tools. * Strong communication ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

Strong Understanding of machine learning concepts and data science tools. * Strong communication ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

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Remote Data Science information

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Data Science jobs in Spring, TX? The most popular types of Data Science jobs in Spring, TX are:
What are popular job titles related to Remote Data Science jobs in Spring, TX? For Remote Data Science jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Spring, TX look for? The top searched job categories for Remote Data Science jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Data Science jobs? Cities near Spring, TX with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Spring, TX as of May 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 58% Physical, 2% Hybrid, and 40% Remote job distribution.
Sr. Salesforce Data Analyst - Remote

Sr. Salesforce Data Analyst - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

$79.40K - $100.10K/yr

Full-time

Posted 27 days ago


Job description

NAVA Software solutions is looking for a Sr. Salesforce Data Analyst
Details:
Sr. Salesforce Data Analyst
Remote Project
Duration: 6-12 months
We are seeking a skilled Salesforce Data Analyst who specializes in Business Intelligence (BI) to join our team. In this role, you will be responsible for analyzing Salesforce data to uncover valuable insights, creating reports and dashboards using tools like Power BI and Sigma to visualize key metrics, and developing data models to support BI initiatives. Additionally, you will work closely with business stakeholders to standardize KPI data definitions, establish primary key relationships between Salesforce objects, and build tables that enable our solar sales business to track customer journey metrics and sales representative productivity effectively. Validation against existing manual reporting processes will also be a crucial aspect of this role.
Responsibilities:
  • Analyzing Salesforce data to identify trends, patterns, and insights relevant to our solar sales business.
  • Creating reports and dashboards using tools like Power BI and Sigma to visualize key metrics and performance indicators.
  • Developing data models and schemas to support BI initiatives, ensuring data accuracy and integrity in Snowflake data warehouse.
  • Collaborating with business stakeholders to standardize KPI data definitions and establish clear data analysis objectives.
  • Working with Salesforce objects to define primary key relationships, ensuring data consistency and efficiency.
  • Building tables and structures within Snowflake that allow our solar sales business to track customer journey metrics, including lead conversion rates, sales pipeline stages, and customer acquisition costs.
  • Implementing solutions to track sales representative productivity, including metrics such as lead follow-up times, deal closure rates, and revenue generated per representative.
  • Validating new reporting against existing manual reporting processes to ensure accuracy and consistency.
  • Providing training and support to users on data-related tools and processes, empowering them to leverage Salesforce data effectively for decision-making.

Skills and Qualifications:
  • Proficiency in the Salesforce CRM platform, with a deep understanding of Salesforce data architecture and object relationships.
  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
  • Experience with BI tools such as Power BI and Sigma, with the ability to create compelling visualizations.
  • Knowledge of data warehousing concepts and experience working with platforms like Snowflake.
  • Excellent communication and collaboration skills, with the ability to work closely with business stakeholders.
  • Certification in Salesforce (e.g., Salesforce Certified Administrator, Salesforce Certified Data Architect) is a plus, demonstrating expertise in Salesforce data management and analysis.

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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