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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 ...

MeridianLink

Predictive Analytics Consultant

$69K - $110K/yr

The Predictive Analytics Consultant will be a key member of the analytics team, responsible for ... Managing large, complex datasets from multiple sources, ensuring they are accurate, clean, and ...

NYULMC

Predictive Analytics Analyst

New York, NY · On-site

We have an exciting opportunity to join our team as a Predictive Analytics Analyst. In this role ... Derive actionable insights from structured and unstructured HR data (e.g., HRIS, ATS, performance ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds, part of ... Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds, part of ... Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop ...

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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 1, 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.

Is 40 too late for data science?

For a role like from home predictive analytics, age is not a barrier; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key to entering the field at any age.

How can I make $100,000 a year working from home?

A from home predictive analytics professional can reach a $100,000 annual income by gaining advanced skills in data analysis, machine learning, and programming languages like Python or R, along with relevant certifications. Building a strong portfolio, gaining experience, and working with high-paying clients or companies can also help achieve this income level.

Can you work from home doing data analytics?

Yes, many data analytics roles, including those in predictive analytics, can be performed remotely. These jobs typically require skills in data analysis tools, programming languages, and strong communication, and often involve using cloud-based platforms and collaboration tools to work effectively from home.

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.

How to make 2000 a week working from home?

A From Home Predictive Analytics role can potentially earn $2000 or more weekly by working on high-demand projects, utilizing skills in data analysis, machine learning, and statistical modeling. Achieving this income level typically requires advanced expertise, a strong portfolio, and the ability to secure multiple clients or projects simultaneously, often through freelance platforms or direct contracts.
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 July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% 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 3 days ago

New

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.