Data Scientist Executive Level 1
Data Scientist Executive Level 1
Posted on :
05-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
- Design develop and deploy advanced machine learning models and predictive analytics to solve real-world business challenges.
- Lead data science projects from ideation through deployment ensuring technical excellence and business alignment.
- Apply statistical modeling data mining natural language processing (NLP) and generative AI techniques as needed.
- Collaborate with cross-functional teams to define KPIs build dashboards and deliver actionable insights to stakeholders.
- Work with large-scale structured and unstructured datasets using cloud-based data platforms (e.g. Azure AWS GCP).
- Develop production-ready code and pipelines using tools such as Python SQL Spark TensorFlow Scikit-learn etc.
- Present findings and recommendations clearly to both technical and non-technical audiences including executive leadership.
- Stay current with the latest developments in AI LLMs deep learning and data science technologies to guide innovation.
- Contribute to data strategy architecture and governance at a high level.
Requirements
- Bachelor s or Master s degree in Computer Science Statistics Mathematics or a related field (Ph.D. is a plus).
- 8 years of professional experience in data science advanced analytics or machine learning.
- Proven track record of delivering end-to-end AI/ML solutions in a production environment.
- Strong programming skills in Python with expertise in data science libraries (e.g. pandas NumPy scikit-learn PyTorch).
- Advanced knowledge of ML algorithms feature engineering model evaluation and deployment practices.
- Experience with cloud platforms (e.g. Azure ML AWS SageMaker or GCP Vertex AI).
- Proficiency in SQL and working with large datasets using Spark Databricks or similar tools.
- Strong experience with NLP Generative AI prompt engineering or LLM fine-tuning is highly desirable.
- Excellent communication and stakeholder engagement skills.
- Demonstrated ability to drive strategic data initiatives with measurable business impact.
- Experience with data governance MLOps or model monitoring frameworks.
- Knowledge of data privacy regulations (GDPR HIPAA) and ethical AI practices.
- Contributions to open-source data science or AI projects.
8+ years of professional experience in data science, advanced analytics, or machine learning. Proven track record of delivering end-to-end AI/ML solutions in a production environment. Strong programming skills in Python, with expertise in data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch). Advanced knowledge of ML algorithms, feature engineering, model evaluation, and deployment practices. Experience with cloud platforms (e.g., Azure ML, AWS SageMaker, or GCP Vertex AI). Proficiency in SQL and working with large datasets using Spark, Databricks, or similar tools. Strong experience with NLP, Generative AI, prompt engineering, or LLM fine-tuning is highly desirable. Excellent communication and stakeholder engagement skills. Demonstrated ability to drive strategic data initiatives with measurable business impact.
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
