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Sr. Data Scientist
Sr. Data ScientistOmm IT Solutions • Cary, NC, us
Sr. Data Scientist

Sr. Data Scientist

Omm IT Solutions • Cary, NC, us
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Job Description

PLEASE NOTE :

  • It is a 100% Onsite position at Cary, NC

JOB DESCRIPTION :

  • We are seeking an experienced and highly motivated Senior Data Scientist / Senior Data Science Engineer. This individual will play a key role in designing, implementing, and delivering cutting‑edge data science solutions that address complex business challenges.
  • The ideal candidate brings deep technical expertise, strong analytical capabilities, and hands‑on experience working in cloud-based environments—preferably Google Cloud Platform (GCP).
  • This role requires strong end‑to‑end ownership of the data science lifecycle, from data ingestion and modeling to deployment and evaluation, along with the ability to influence strategy and drive innovation.
  • SKILL SET :

  • Python, GCP (BigQuery, Dataflow, Dataproc, AI Platform)
  • KEY RESPONSIBILITIES :

  • Lead and deliver data science projects aligned with business strategy and performance targets.
  • Implement end‑to‑end data science workflows including data collection, preprocessing, feature engineering, model development, deployment, monitoring, and optimization.
  • Ensure model quality, reproducibility, and robustness.
  • Apply advanced statistical modeling, machine learning, and data mining techniques to solve complex business problems.
  • Build and deploy predictive models, optimization engines, recommender systems, NLP models, and other AI / ML solutions.
  • Work with big data technologies and cloud-native tools—preferably GCP, including BigQuery, Dataflow, Dataproc, AI Platform, Vertex AI, Airflow, or equivalent.
  • Write high-quality, production-ready code primarily in Python, following MLOps and software engineering best practices.
  • Present model insights, performance metrics, and recommendations to senior managers and stakeholders.
  • Contribute to roadmap planning, project scoping, and solution architecture discussions.
  • Stay current with the latest trends in machine learning, AI frameworks, and cloud technologies.
  • Evaluate emerging methodologies, tools, and algorithms to enhance data science capabilities.
  • Propose innovative solutions that improve model performance, scalability, and business impact.
  • Requirements

    REQUIRED QUALIFICATIONS :

  • Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • 10+ years of experience in data science, machine learning, applied analytics, or related disciplines.
  • Experience in financial services, banking, insurance, or fintech.
  • Proven experience developing, deploying, and operationalizing AI / ML solutions with measurable business impact.
  • Strong programming skills in Python, including experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Expertise working with cloud platforms, with strong preference for Google Cloud Platform (GCP) - BigQuery, Dataflow, Dataproc, AI Platform, Vertex AI, etc.
  • PREFERED QUALIFICATIONS :

  • Familiarity with data visualization tools such as Tableau or Looker.
  • Experience with MLOps practices and tools, including CI / CD pipelines for ML, model monitoring, and automated retraining.
  • Experience with feature stores, model registries, and large‑scale ML deployment.
  • Requirements

    Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field. 10+ years of experience in data science, machine learning, applied analytics, or related disciplines. Experience in financial services, banking, insurance, or fintech. Proven experience developing, deploying, and operationalizing AI / ML solutions with measurable business impact. Strong programming skills in Python, including experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Expertise working with cloud platforms, with strong preference for Google Cloud Platform (GCP) - BigQuery, Dataflow, Dataproc, AI Platform, Vertex AI, etc. Familiarity with data visualization tools such as Tableau or Looker. Experience with MLOps practices and tools, including CI / CD pipelines for ML, model monitoring, and automated retraining. Experience with feature stores, model registries, and large‑scale ML deployment

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