Mid - Level Engineering Data Scientist for Boeing's Global Services Analytics team. Creating analytics models and collaborating on health management solutions for KC - 46 platform.
About the role
- Senior Data Scientist developing and implementing predictive models for Beekin's AI-driven real estate solutions. Collaborating with cross-functional teams to enhance model performance and user experience.
Responsibilities
- Develop machine learning models from conception to production, focusing on real-world applications within the real estate space.
- Analyze large sets of data to derive actionable insights and drive strategic decisions.
- Collaborate with engineers, product managers, and domain experts to enhance model performance and user experience.
- Utilize strong statistical knowledge to validate modeling assumptions and interpret results.
- Mentor junior data scientists, fostering a culture of learning and innovation within the team.
- Stay current on industry trends and emerging technologies to ensure that Beekin remains at the forefront of data science applications.
Requirements
- MS’s or Ph.D. degree in Data Science, Statistics, Mathematics, or Physics
- A minimum of 5 years experience with python and 2 years with SQL
- Proficient in Python libraries such as Pandas, NumPy, Scikit-learn
- Optional:
- Experience with big data technologies (e.g., Spark, Hadoop) is highly desirable.
- Excellent analytical, problem-solving, and communication skills with the ability to convey complex concepts to non-technical stakeholders.
- Experience with cloud platforms (AWS, Azure, or GCP) is preferred.
- Familiarity with real estate or finance domains is a plus.
Benefits
- A career trajectory you can own
- Training & Development
- Hybrid schedule (in-office and remote)
- Competitive Leave Package
- Attractive Stock options
- Allowance for industry conference
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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