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60 Bi Predictive Analyst Jobs Hiring Near You

No C2C, Only W2, Only Locals to Atlanta, GA We are seeking a Power BI Developer & Analytics ... Knowledge of Analytics Engineering, Data Warehousing, AI, Predictive Analytics , and production ...

Power BI Developer LOCATION: Hybrid in NYC RATE: 90/hr. C2C We are seeking a highly skilled Senior ... Familiarity with DAX and advanced data modeling for predictive analytics and statistical ...

The Sr. BI Developer is responsible for gathering data from multiple sources into the Enterprise ... Experience with SQL Server and/or SQL query writing Predictive Analytics * Experience gathering ...

Familiarity with DAXand advanced data modelingfor predictive analytics and statistical forecasting ... Power BI, Tableau, or similar * Lead/ Power BI Consultant * Microsoft Power BI * Microsoft Power BI ...

Develop and maintain dashboards, reports, and data visualizations using tools like Power BI ... Experience with machine learning, predictive analytics, or AI-driven analytics. * Familiarity with ...

Develop and maintain dashboards, reports, and data visualizations using tools like Power BI ... Experience with machine learning, predictive analytics, or AI-driven analytics. * Familiarity with ...

Predictive Research Analyst KBR is seeking a Predictive Research Analyst for mission-level combat ... Experience with BI Tools * Experience with Excel VBA Work Environment: * Location: On-site * Travel ...

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Data Scientist / Predictive Analytics Engineer

Plugins Inc

Dallas, TX • On-site

Other

Posted 13 days ago


Job description

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

* 8+ 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 Google Cloud Platform.
* 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.