Data specialist serp_jobs.h1.location_city

Job Description :

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Join AT&T and reimagine the communications and technologies that connect the world. The Data Science team at AT&T leads transformation through data-driven decisions that enhance the customer experience and businesses worldwide. Leveraging one of the largest data sets available we develop meaningful insights that drive continuous innovation. We utilize the latest technology to develop generative AI solutions with real business impacts. When you step into a career with AT&T you wont just imagine the future-youll create it.

What youll do :

Typical tasks may include but are not limited to the following :

Data Extraction and Preparation : Collect data from various structured and unstructured sources (datalakes databases data warehouses on cloud internal external) and ensure its quality for analysis through cleaning and preprocessing. Designs builds and analyzes large (e.g. 100s of Terabytes or higher as technology advances) and complex data sets while thinking strategically about data use and data design. Tools can include

Coding Solutions Algorithms and Feature Engineering : Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction cleansing feature engineering exploratory data analysis model selection / creation hyper-parameter tuning model interpretation model retraining business process and / or system implementations high level proof of concept and trials visualization deployment to production post deployment ML ops monitoring / diagnosis / resolutions. Coding proficiency required in at least one data science language (Python R Scala etc.) as well as expertise with modern ML packages and libraries (Spark SciKitLearn Pandas PyTorch TidyVerse Tensorflow Keras Shiny and / or AutoML tools).

Model Development Deployment and Optimization : Build evaluate and optimize machine learning models through hyperparameter tuning. Implement models into production continuously monitor their performance and ensure they remain explainable and reliable to minimize model decay. Ability to develop custom Machine Learning (ML). Highly proficient in the full AI workflow such as (1) data extraction cleansing feature engineering exploratory data analysis model selection / creation hyper-parameter tuning model interpretation model retraining and (2) Uses concepts like mlflow to log metrics. Well-versed in Interactive Development Environments (IDEs) such as Databricks Workspaces or Visual Studio Code. Proficiency in algorithm categories such as Supervised Learning Unsupervised Learning Optimization Algorithms Deep Learning AI-Computer Vision Natural Language Processing Deep Reinforcement Learning Search Algorithms and AI- Knowledge Graphs.

Visualization and Collaboration : Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives. Can utilize advanced coding methods to produce visualizations (e.g. ggplot etc.).

Generative AI : Develop and implement generative AI models focusing on creating new content or augmenting existing data. Generative Models-Understanding of GANs (Generative Adversarial Networks) VAEs (Variational Autoencoders) and Transformers. Fine-Tuning-Techniques for adapting pre-trained models to specific tasks using smaller task-specific datasets. Agentics-Understanding of agentic architecture concepts and optimization of solutions. Prompt Engineering-Crafting effective prompts to guide generative models in producing desired outputs. Retrieval-Augmented Generation (RAG)-Combining generative models with retrieval systems to enhance performance and relevance. Text Generation-Proficiency in using models like GPT-3 / 4 for generating human-like text. Image Generation-Familiarity with tools like DALL-E and Stable Diffusion for creating images from text descriptions.

What youll need :

Translate business problems into actionable insights through a comprehensive workflow involving coding data extraction cleansing feature engineering exploratory data analysis model creation and tuning visualization and deployment leveraging statistical analysis machine learning and big data technologies to drive informed decision-making and innovation.

What youll bring :

An experienced professional with in-depth knowledge applying organizational practices to resolve moderately difficult problems. Works with independent judgement on expansive projects with minimal supervision implementing policy changes to improve functions. Actions impact efficiency costs schedules and client relationships. Interacts primarily within the department and with General Managers and above across various teams.

TCP Career Step Differentiator : Performs moderately complex data science work and contributes to less complex models.

Education / Experience :

Bachelors degree (BS / BA) required from an accredited University in a Quantitative field of study such as Data Science Math Statistics Engineering or Physics. 2 years of related experience. Certification is required in some areas.

Supervisor :

Our Specialist Data Scientist earns between$110600-$166000 USD Annual Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography experience expertise and education / training.

Individual starting salary within this range may depend on geography experience expertise and education / training.

Joining our team comes with amazing perks and benefits :

• Medical / Dental / Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs : critical illness / accident hospital indemnity / group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories
• AT&T internet (and fiber where available) and AT&T phone.

LI-Onsite Full-time office role-

Ready to join our team Apply today

Weekly Hours : Time Type :

Regular

Location :

USA : TX : Plano / W Plano Pkwy - Adm & Dat : 2900 W Plano Pkwy

Salary Range :

110600.00 - $166000.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age color national origin citizenship status physical or mental disability race religion creed gender sex sexual orientation gender identity and / or expression genetic information marital status status with regard to public assistance veteran status or any other characteristic protected by federal state or local addition AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Required Experience :

Unclear Seniority

Key Skills

GIS,Computer Data Entry,Facilities Management,ADMA,Fleet,Key Account

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 110600 - 166000