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

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Identifies and gathers the relevant and quality data sources required to fully answer and address ...

AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT ...

New

AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT ...

New

Remote, US Based, East Coast Working Hours ASRC Agile Decision Sciences LLC is currently seeking ... The Data Analyst Senior will leverage Appian's analytics and reporting capabilities to provide ...

AI Developer

San Antonio, TX · On-site +1

$77K - $176K/yr

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

AI Developer

San Antonio, TX · On-site +1

$77K - $176K/yr

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Showing results 21-40

Remote Data Science 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, 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 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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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 job categories do people searching Remote Data Science jobs in Converse, TX look for? The top searched job categories for Remote Data Science jobs in Converse, TX are:
What cities near Converse, TX are hiring for Remote Data Science jobs? Cities near Converse, TX with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Converse, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analyst - Marketing Analytics & Digital Insights (Remote)

Vericast

San Antonio, TX • Remote

$110K - $140K/yr

Full-time

Posted 23 days ago


Vericast rating

7.5

Company rating: 7.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

20th of 50 rated marketing agency


Job description

Company Description

Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That's why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more.

Job Description

We are seeking an experienced Senior Data Analyst to join our Insights and Analytics team, where you will transform complex data into strategic insights that drive marketing effectiveness and business growth for financial institutions. This role combines analytical excellence with business acumen to optimize marketing investments, enhance digital customer experiences, and inform data-driven decision-making across the organization. As a key member of our team, you'll work at the intersection of marketing science, digital analytics, and financial services expertise, delivering actionable insights that directly impact campaign performance, customer engagement, and ROI optimization.

KEY DUTIES/RESPONSIBILITIES


Strategic Analysis & Insights: Lead analysis of large-scale datasets from digital platforms, CRM systems, and marketing automation tools to uncover actionable trends and opportunities; Design measurement frameworks and learning agendas that align with business strategies and marketing objectives; Conduct attribution modeling and customer journey analysis to understand marketing touchpoint impact across channels; Perform ad-hoc strategic analyses to support executive decision-making and answer critical business questions (30%)


Digital & Marketing Analytics: Analyze website and digital performance including traffic, engagement, conversion funnels, and session quality to identify optimization opportunities; Monitor key metrics including Cost Per Account, Lifetime Value, ROAS, and conversion rates across marketing channels; Execute A/B testing strategies and multivariate experiments to optimize campaigns and user experiences; Leverage tag management systems to ensure accurate data capture and tracking implementation (30%)


Data Visualization & Communication: Build and maintain advanced dashboards and interactive visualizations using Tableau, Power BI, or Looker; Translate complex analytical findings into clear narratives for C-suite executives, marketing leaders, and technical teams; Present strategic recommendations that drive action and influence stakeholder decisions; Create automated reporting solutions providing real-time visibility into marketing performance and KPIs (20%)


Collaboration & Project Management: Partner with cross-functional teams including Product,
Engineering and Strategy to deliver integrated insights; Manage multiple concurrent analytical
projects ensuring timely, high-quality delivery; Collaborate with teams to improve digital customer
journeys and campaign effectiveness based on data insights (20%)

Qualifications

EDUCATION
Bachelor's degree in a quantitative discipline such as Statistics, Data Science, Economics, Mathematics, Computer Science, or related field
Master's degree preferred


EXPERIENCE
5-9 years of progressive experience in data analysis, marketing analytics, or advanced analytics roles
Proven experience in financial services industry or working with financial institutions required
Track record of delivering impactful insights that influenced strategic business decisions


KNOWLEDGE/SKILLS/ABILITIES
Analytics Platforms: Expert-level proficiency with Google Analytics (GA4), Adobe Analytics, or similar digital analytics platforms
Programming & Analysis: Advanced SQL skills required; proficiency in Python or R for statistical analysis and data manipulation
Data Visualization: Strong experience with Tableau, Power BI, or Looker to create executive-level dashboards
Database Technologies: Experience with cloud data platforms (Snowflake, AWS, Google Cloud, Azure) and big data tools (Hadoop, Spark) preferred
Marketing Technology: Familiarity with marketing automation platforms, CRM systems, and tag management implementation

Additional Information

Base salary: $110,000-$140,000

*Applications will be accepted through August 17, 2026, after which the posting will be closed and no longer available for submissions.*

The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.

At Vericast, we don't just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community.As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.

#LI-KK1 #LI-REMOTE


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