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From Home Predictive Analytics Jobs (NOW HIRING)

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX ... Flexible work from home options available. Compensation: $100,000.00 - $120,000.00 per year About ...

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From Home Predictive Analytics information

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$27K

$112.7K

$200.5K

How much do from home predictive analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for from home predictive analytics in the United States is $112,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What is the difference between From Home Predictive Analytics vs Data Analyst?

AspectFrom Home Predictive AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentRemote, home-based role with flexible hoursTypically office-based, but remote options are common
Industry UsageUsed across tech, finance, marketing for predictive modelingUsed in various industries for data interpretation and reporting
Common Search/ComparisonOften compared for roles involving predictive modeling from homeCompared for data interpretation roles in analytics

From Home Predictive Analytics focuses on building models to forecast future trends remotely, requiring skills in machine learning and statistical modeling. Data Analysts interpret existing data to generate reports and insights, often with less emphasis on predictive modeling. Both roles may overlap but differ mainly in their focus on prediction versus analysis and work environment.

Can you work from home in from home predictive analytics?

Yes, many predictive analytics roles, including those performed from home, are suitable for remote work. These jobs often require skills in data analysis, statistical software, and communication tools, and may involve flexible schedules depending on the employer.

What jobs use predictive analytics?

Jobs that use predictive analytics include data analysts, data scientists, business analysts, marketing analysts, financial analysts, and operations managers. These roles involve analyzing data to forecast trends, improve decision-making, and optimize processes using tools like statistical software and machine learning algorithms.

What cities are hiring for From Home Predictive Analytics jobs?

Cities with the most From Home Predictive Analytics job openings:

What are the most commonly searched types of Predictive Analytics jobs?

The most popular types of Predictive Analytics jobs are:

What states have the most From Home Predictive Analytics jobs?

States with the most job openings for From Home Predictive Analytics jobs include:

From Home Predictive Analytics jobs near you
Infographic showing various From Home Predictive Analytics job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 22% Part Time, and 4% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $112,722 per year, or $54.2 per hour.

Predictive Analytics Engineer

Select Minds LLC

Dallas, TX • On-site

$100K - $120K/yr

Full-time

Posted 23 days ago

Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Data Scientist / Predictive Analytics Engineer
Location: Dallas, TX (Hybrid, 3 days onsite per week)
Employment Type: Full-Time / Contract (W2)
Duration: Long-Term
Work Authorization: Open to candidates authorized to work in the U.S.
Interview Process: Video Interview followed by Client Interview
We are seeking a talented Data Scientist to join our growing analytics team in Dallas, TX.
The ideal candidate will have experience building predictive models, developing machine learning solutions, and transforming complex datasets into actionable business insights.
will work closely with product, engineering, and business stakeholders to drive data-driven decision making and improve business outcomes.
Key Responsibilities
* Collect, clean, and integrate structured and unstructured data from multiple sources.
* Build, train, validate, and deploy machine learning models for predictive analytics.
* Design and execute A/B testing and statistical experiments to optimize products and business processes.
* Develop automated dashboards and reports to monitor KPIs and business performance.
* Perform exploratory data analysis to identify trends, patterns, and opportunities.
* Present analytical findings and recommendations to technical and non-technical stakeholders.
* Collaborate with cross-functional teams including Product, Engineering, Marketing, and Business Operations.
* Optimize existing data science workflows and improve model performance.
* Ensure data quality, governance, and best practices throughout the analytics lifecycle.

Required Skills
* 2+ years of professional experience as a Data Scientist.
* Strong programming skills in Python or R.
* Advanced SQL skills with experience querying complex relational databases.
* Hands-on experience with machine learning frameworks such as:
    * Scikit-Learn     * TensorFlow    * PyTorch
* Experience with statistical modeling, predictive analytics, and feature engineering.
* Strong understanding of:
    * Regression Analysis    * Hypothesis Testing    * Probability & Statistics
* Experience with data visualization tools such as:
    * Tableau   * Power BI   * Matplotlib
* Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
* Experience working with cloud platforms such as AWS, Azure, or GCP.
* Knowledge of data pipelines, ETL processes, and big data technologies.
* Experience with MLOps, model deployment, and monitoring is a plus.
* Familiarity with version control systems such as Git.
Education
* Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related quantitative field.
Why Join Us?
* Work on impactful machine learning and AI initiatives.
* Hybrid work environment in Dallas, TX.
* Collaborative, data-driven culture.
* Opportunity to work with modern analytics and cloud technologies.
* Competitive compensation and career growth opportunities.

Flexible work from home options available.