Senior Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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. The Senior Data Scientist will be part of the Innovative Data Solutions’ Data Science team and will be responsible for applying statistical, advanced analytics, machine learning, and AI techniques to solve business problems. You will collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges. You must be able to work across the entire machine learning (ML) lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, performance measurement, and business adoption.

Responsibilities:

• Support teams’ mission to partner with leaders across T-Mobile to understand the art of the possible and identify AI/ML opportunities to grow our business, reduce costs, manage risk, detect anomalous behavior, forecast/predict outcomes, and delight our customers
• Support business partners and product owners to understand business challenges, develop business cases, capture requirements, co-create solutions that drive business change that solve the challenges and deliver impactful business outcomes
• Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members.
• Design advanced analytics to solve business problems; preprocess and perform exploratory data analysis on structured and unstructured data; create features based on expertise in the domain; use predictive modeling techniques and statistical analysis to predict outcomes and behaviors
• Leverage the Agile methodology to ensure alignment of data science roadmap, features, and stories to business priorities and value streams
• Collaborate with cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts.
• Partner with other technology partners such as architects, engineers, product managers, scrum masters, release train engineers, and agile coaches to deliver on targeted business outcomes.

Skill Requirements:

• Excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, DNN, Naive Bayes, Support Vector Machine, etc.)
• Expertise in applying statistical, advanced analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems. Strong programming skills using Python, SQL, PySpark
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Strong analytical, critical-thinking skills with demonstrated ability to identify/analyze/synthesize data and use the data to drive decisions
• Superior communication and persuasion skills, talent for storytelling, visualization, and creating insights from data to deliver practical recommendations for business action
• Good knowledge of calculus, linear algebra, statistics, and probability

Work Experience/Qualifications and Education:

• Bachelor’s degree required, Master’s degree or Ph.D. preferred in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required. 
• 4-7 years of industry experience in predictive modeling, data science, machine learning, advanced analytics, and AI in a data scientist role, ML Scientist, or deep learning scientist role.
• 4-7 years of experience with programming languages like Python, PySpark, SQL, and/or R.
• Experience working with relational databases using SQL
• Experience with data querying, wrangling, cleaning, and feature engineering working with common relational and non-relational databases in big data environments such as Azure, AWS, or Google Cloud
• Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data
• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
• Experience generating data-driven insights and explaining machine learning and analytical concepts to diverse audiences and multiple levels of leadership
• Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus
• Experience in data visualization is a plus
• Experience in the telecom industry is a plus
• 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 a 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.