Data Scientists

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop!

Position summary

T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Data Scientists located in Frisco, TX will effectively use current and emerging technologies to create machine intelligence models.

Position duties and responsibilities include, but are not limited to:

• Effectively uses current and emerging technologies to create machine intelligence models;
• Use predictive analytics techniques and inductive statistical analysis to predict outcomes and behaviors;
• Interact with business partners to identify questions for data analysis and experiments;
• Ingest data from different sources using different ETL tools;
• Provide support to application in production environment;
• Design and/or develop processes and systems to analyze high volume, diverse “big data” sources using advanced mathematical, statistical, querying, and reporting methods; and
• Identify meaningful insights from large data and metadata sources; interpret and communicate insights and or prepares output from analysis and experiments to business partners.

Skill requirements:

• Engage in data collection, extraction, wrangling and processing, including data engineering and feature engineering, and perform Exploratory data analysis including univariate, bivariate, statistical analysis and hypothesis testing for analysis and for preparing the datasets for models. Use ETL and visual workflow tools including Apache Nifi, Diyotta DI Suite, Alteryx for ingesting, processing data and scheduling jobs.
• Utilize Dataiku to achieve MLOPS cycle, ingest data from multiple sources including Snowflake, Azure data lake, blob storage, API endpoint URLs, Teradata, Hadoop HDFS. Perform Exploratory data analysis, Feature engineering, Model development, Hyperparameter tuning, schedule the runs on daily basis and conduct real time via API triggering and monitoring modeling along with any feature and data drift.
• Work with Hive, HBase, Elastic Search, or comparable tools to improve the time latency taken to insert records for providing real time processed feeds. Use Kibana to visualize and analyze json feeds at real time.
• Use Kafka as a pipeline for streaming real time feeds from social media platforms and various sources to provision data to Spark Processors and Machine Learning Models. Use SVN, GitHub, or comparable tools for version controlling.
• Develop various supervised and unsupervised Machine Learning Models including Classification models using Naive Bayes, Support Vector Machine, KNN, Linear Regression, Logistic Regression, Decision Tree, Random Forest algorithms (or comparable tools) and Recommendation models using Collaborative Filtering technique, Clustering models using k-means, Centroid-based, Hierarchical, Fuzzy C-Means in Databricks platform and various IDEs including Eclipse, Intellij, Visual Studio using programming languages including Java, Python, Scala, R, PySpark.
• Engage in visualization of insights and results data using Power BI, Neo4j, D3. Use GraphX to simplify graph analytics tasks.

Experience and education requirements:

• PRIMARY REQUIREMENTS: Master’s degree in Computer Science or related, and 1 year of relevant work experience.
• ALTERNATIVE REQUIREMENTS: Bachelor’s degree in Computer Science or related, and 3 years of relevant work experience.

Telecommuting is permitted, but applicants must live within a reasonable commuting distance.

Additional:

• Location: Frisco, TX
• This position is eligible for the employee referral program.

How to apply:

• Visit tmobile.jobs.
• Create a candidate profile, and apply to requisition number REQ192607.

OTHER: Work hours: 40 hours/week. Salary: At least $85,301/year.

This notice is being provided as a result of the filing of a permanent alien labor certification application for this job opportunity. Any person may provide documentary evidence bearing on the application to:

United States Department of Labor

Employment and Training Administration

Office of Foreign Labor Certification

200 Constitution Avenue NW, Room N-5311

Washington, D.C. 20210

• At least 18 years of age

  Legally authorized to work in the United States

  T-Mobile requires all employees in this position to be fully vaccinated for COVID-19, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. T-Mobile will require proof of vaccination, and will consider requests for exemption from this requirement during the offer phase (1) as are reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not cause T-Mobile undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law.

Travel:

Travel Required (Yes/No):No

DOT Regulated:

DOT Regulated Position (Yes/No):No

Safety Sensitive Position (Yes/No):No

T-Mobile's Commitment

Never stop growing!

T-Mobile doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward.