Senior Data Scientist

5 days ago

🇺🇸 United States – Remote

🐊 Florida – Remote

Although this job is listed in Florida, this company may be open to hiring remote in other states.

+2 more states

🐊 Florida – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Transaction Network Services (TNS)

WebsiteLinkedInAll Job Openings

Telecommunications • Financial Markets • Payments • Point of Sale (POS) • Information Technology and Services

1001 - 5000 employees

Founded 1993

📡 Telecommunications

💳 Fintech

🔐 Security

Description

• Analyze complex datasets, develop advanced machine learning models, and deliver cutting-edge AI solutions. • Collaborate with cross-functional teams to drive data-driven decision-making. • Apply statistical analysis, machine learning, and deep learning to solve global business challenges. • Develop, train, and deploy predictive models using modern machine learning tools and frameworks. • Conduct data preprocessing, feature engineering, and exploratory analysis to uncover patterns and trends. • Collaborate with domain experts and stakeholders to interpret requirements and deliver analytics-driven solutions. • Design and deploy scalable AI solutions using cloud engineering principles. • Partner with software engineers to integrate machine learning models into production systems. • Implement MLOps practices for model training, deployment, and monitoring. • Communicate insights through clear reports and visual presentations for technical and non-technical audiences.

Requirements

• Ph.D. in Computer Science, Machine Learning, Statistics, Telecommunications or related fields. • 2+ years of professional experience in a data science role, focusing on production-grade solutions. • Background in telecommunications and knowledge of industry regulations is a plus. • Expertise in handling large datasets with emphasis on data privacy and security. • Strong Python skills and proficiency in data science frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Expertise in audio processing and natural language processing (NLP) techniques and frameworks. • Familiarity with cloud-based architectures and big data technologies (e.g., Hadoop, Spark, Hive). • Experience with MLOps tools (e.g., Docker, AWS EMR, AWS SageMaker). • Strong foundation in software engineering and development practices. • Knowledge of additional programming languages like Scala or Go is a plus. • Proven record of verbal and written communication skills for engaging with international teams. • Ability to articulate complex analytical results to technical and non-technical stakeholders.

Benefits

• Eligible for performance-based bonuses. • Comprehensive benefits package including medical, dental, life insurance, paid holidays, vacation, and 401K with company match.