Senior Data Scientist developing innovative solutions for customer-facing products at T-Mobile. Collaborating cross-functionally to deliver scalable machine learning systems that unlock new revenue opportunities.
Responsibilities
Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company.
Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members.
Work with engineering teams to implement and improve machine learning pipelines and production-ready models.
Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills.
4-7 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required)
4-7 years Experience with data scripting languages (e.g., SQL, Python, R) (Required)
2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
4-7 years Experience in data visualization (Required)
4-7 years Experience working with relational database using SQL (Required)
2-4 years Experience in the telecom industry (Preferred)
Associate Director responsible for developing insights based on analytics to inform commercial strategies at a pharmaceutical company. Collaborating with teams to translate data into actionable business strategies.
Associate Director in Data Science focusing on advanced analytics for the Pharma portfolio. Leading data - driven insights and collaboration across teams to inform brand strategies.
Data Lead to design new data architecture and migrate legacy systems at fast - growing company. Improving data performance, governance, and costs in GCP BigQuery.
Performance Data Manager managing pavement data and providing technical support for the Illinois Department of Transportation. Compiling and analyzing data for transportation infrastructure projects.
Senior Data Scientist developing advanced analytical solutions to enhance customer data transformation at CI&T. Collaborating on strategic projects requiring strong analytical skills and cloud experience.
Data Scientist developing predictive models for vehicle budgeting solutions at Cilia Tecnologia. Collaborating with engineering team to implement models and monitor production performance.
Data Science Intern joining Seagate's Product Development Group to leverage AI and ML technologies. Gaining hands - on experience in data analysis and model development on real - world projects.
Staff Data Scientist at Pagaleve developing advanced ML models for credit and fraud solutions. Lead technical expertise in a fintech setting, bridging data science and engineering teams.
Lead Data Scientist responsible for scalable AI/ML models and application backends at Cloudflare. Collaborate with teams to deliver features and operate data platforms in a hybrid environment.