Data Scientist, #31906, Dallas/Fort Worth, TX

Website pactelsolutions PacTel Solutions

Data Scientist, #31906, Dallas/Fort Worth, TX

Compensation: $99.70/per hour

PacTel Solutions is looking for a Data Scientist for a 6-month contract position with Frontier Communications located at 2200 W. Airfield Dr, Dallas/Fort Worth Airport, TX.

This role requires that all successful applicants be fully vaccinated against COVID-19 as a condition of employment and provide proof of such vaccinations within 3 days of commencement of employment.


Provide analytical support and recommendations regarding optimization of operational processes, capital allocation, and pricing.

Provide insights into future growth and profitability strategy through historical business analysis and forecasting of industry and major customer trends (e.g. what markets to prioritize, opportunities to pursue, how to win, impact of 5G, etc.)

Work with and analyze complex data from various sources. Manipulate large data sets and navigate a variety of servers, data types, and data structures to complete statistical and other analyses

Develop predictive and descriptive models using advanced procedures like statistical modeling, linear regression and Bayesian analyses.

Knowledge of some/all of the following techniques:

Multivariate Regression, Logistic Regression, Support Vector Machines, Bootstrap Aggregation, Boosting, Decision Trees, and Time Series Analysis.

Use a suite of analytical tools including Python, SAS & R to build, implement, and regularly monitor the effectiveness of predictive models.

Perform statistical data analysis and build forecasting and optimization models.

Develop and monitor industry trends, to support the monitoring, evaluation and development of current and newly emerging products, and consumer behavior.

Partnering with business analysts to gather requirements and translate to actionable scenarios and models.

Work with various functions to document and communicate results of analyses, present work in clean, structured formats .

Required Skills/Requirements:

Experience developing and implementing statistical models.

Experience with a statistical analysis tool like Python.

Experience performing data management, mining, and manipulation along with analytics.

Experience using SQL in a RDBMS environment.

Excellent communication skills, oral and written.

Must have strong attention to detail and ability to work independently under general instructions and with a team.

Some programming experience – This role will rely heavily on programming experience in Python, as well as SSMS.

Act as a liaison between consumer, network and finance stakeholders.

Develop and maintain training material.

Represent modeling on teams and task groups for projects/initiatives across the organization and act as a source of effective challenge.

Perform outreach activities to new business areas engaged in modeling

Develop and maintain business unit and enterprise-wide model risk metrics and reports

Develop and maintain model repository, develop model scorecard, and communicate model impact to senior leaders.

Lead building out action plans and milestones to drive remediation of any oversight issues.

Lead Modeling team’s communication for regulatory exams.

Drive knowledge sharing on relevant industry standards, best practices, and business processes and technology used in model risk management and model development.

Lead evaluation of model management technology tools.


Experience with tools and methodologies specific to big data

Familiarity with relational databases, such as Oracle, MS SQL and Server

Telecommunications Background, Financial Background, Python/SQL,R/Cloud, Data science methodologies, Churn modeling, Propensity, Geospatial


Communication – coherent expression of thought and understanding of objective/question

Degree Requirements:

Degree (Graduate / Ph.D. preferred) in an analytical or technical field (e.g. applied mathematics, physics, computer science, operations research)

Hours: 8:00am to 5:00pm

Please see important notes below;

Principals only-no 3rd party vendors.  Recruiters, please do not contact this poster.

    • Resumes that are submitted by a 3rd party vendor CANNOT be considered and will be discarded.
    • Potential candidates must be legally authorized to work in the United States. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
    • Please include your work authorization status under your name and a “Skills” section that reflects your knowledge, skills, and experience that pertain to the position you are applying for. This helps your resume pass the screening process.
    • We are not able to supply relocation packages or immigration sponsorships.
    • Drug and 7 year Background (including education verification) screening required upon offer of position.
    • If you have already submitted your resume for this position with another supplier,  please do not submit your resume to us for the same position.

    PacTel Solutions is always looking for excellent talent.


    Data Scientist, #31906

    If you have trouble submitting the form please email your resume to


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