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We are seeking a highly skilled
Data Scientist with strong AI/ML experience
to join our team supporting Verizon. The ideal candidate will have a strong background in data science, machine learning, and statistical modeling, with hands-on expertise in building and deploying models at scale. This role will work closely with business stakeholders, data engineers, and product teams to deliver AI-driven insights and solutions that support key business decisions.
Key Responsibilities: Design, develop, and implement
machine learning and AI models
to solve business problems. Perform
data wrangling, preprocessing, and feature engineering
using large, complex datasets. Apply advanced techniques in
predictive analytics, natural language processing (NLP), computer vision, and deep learning
as per project needs. Collaborate with data engineers to ensure seamless
data pipelines and model deployment
in production environments. Conduct
model evaluation, validation, and performance monitoring
to ensure accuracy and scalability. Work with stakeholders to translate business requirements into data-driven solutions. Stay up to date with emerging AI/ML technologies, frameworks, and best practices. Required Skills & Qualifications:
Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or related field. 10+ years of experience
in data science or applied machine learning roles. Strong programming skills in
Python, R, or Scala . Experience with
ML frameworks
such as TensorFlow, PyTorch, Scikit-learn, or Keras. Strong understanding of
statistical modeling, supervised/unsupervised learning, and deep learning
techniques. Experience with
cloud platforms (GCP, AWS, or Azure)
and tools like Databricks or Spark. Familiarity with
CI/CD pipelines, MLOps practices , and deployment of ML models in production. Strong communication skills to explain technical concepts to non-technical stakeholders. Preferred Qualifications:
Experience working in large-scale enterprise environments (telecom/retail/financial domain is a plus). Hands-on exposure to
NLP, computer vision, and reinforcement learning . Experience with
data visualization tools
such as Tableau, Power BI, or Python visualization libraries. Knowledge of
data governance, compliance, and model explain ability .
Sprachkenntnisse
- English
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