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 cuttingedge data science solutions that address complex business challenges.
- The ideal candidate brings deep technical expertise strong analytical capabilities and handson experience working in cloud-based environmentspreferably Google Cloud Platform (GCP).
- This role requires strong endtoend 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 endtoend 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 toolspreferably 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:
- Masters 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 largescale ML deployment.
Required Skills:
Masters 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 largescale ML deployment
Required Education:
Masters degree or Ph.D. in Computer Science Statistics Mathematics Engineering or a related field.
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 cuttingedge data science solutions that address ...
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 cuttingedge data science solutions that address complex business challenges.
- The ideal candidate brings deep technical expertise strong analytical capabilities and handson experience working in cloud-based environmentspreferably Google Cloud Platform (GCP).
- This role requires strong endtoend 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 endtoend 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 toolspreferably 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:
- Masters 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 largescale ML deployment.
Required Skills:
Masters 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 largescale ML deployment
Required Education:
Masters degree or Ph.D. in Computer Science Statistics Mathematics Engineering or a related field.
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