Data Scientist - Optimization and Modeling

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description
We are looking for our next Data Scientists. We have a couple of open positions for Lead and Senior Data Scientists. As Data Scientists, we spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients’ business problems. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross validate our recommendations to make sure our recommendations will perform well over time. The role will also include significant consulting / client facing work comprised of:

Working with practice leaders and clients to understand clients’ business problem, industry context, data sources, potential risk and constraints.
Collaborate with cross-functional teams to develop and deliver data-driven solutions that support key business initiatives
Design and implement, and optimize advanced models using Python, SQL and Google Cloud Platform (GCP)
Apply mathematical optimization techniques to address real-world healthcare challenges;experience with Gurobi is a strong plus
Build and manage scalable data pipelines and orchestrate workflows using tools such as Airflow and Dataproc
Effectively communicate analytical findings and technical methodologies to both technical and non-technical stakeholders


Qualifications

Minimum 3-4 years (Senior Data Scientist level) or 5-7 years (Lead Data Scientist level) of experience in data science or advanced analytics roles.
Proficient in Python, SQL, and cloud-based environments (GCP preferred).
Proven experience in mathematical optimizationGurobi is highly desirable.
Familiarity with workflow orchestration tools such as Airflow or Dataproc.
Strong business acumen with the ability to rapidly integrate into and contribute to complex projects.
Excellent verbal and written communication skills, with a demonstrated ability to engage effectively with diverse stakeholders.


Additional Information
If you are interested in the position, please include the following information in your cover letter:

Your experience with Optimization? How much Optimization experience do you have?
What are some optimization methods you've used.
Which libraries or tools have you used for optimization?
Have you used optimization in conjunction with machine learning models?
Do you have experience with Linear/Integer Programming (Gurobi, CPLEX).

#LI-ST1


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