Data Scientist, Blend

Optimization & Modeling

Salary not provided

SQL

GCP

Python

Airflow

Mid and Senior level

Remote from US

Business performance data & analytics

Be an early applicant

Business performance data & analytics

501-1000 employees

B2BArtificial IntelligenceAnalyticsSaaSData Analysis

Be an early applicant

Salary not provided

SQL

GCP

Python

Airflow

Mid and Senior level

Remote from US

501-1000 employees

B2BArtificial IntelligenceAnalyticsSaaSData Analysis

Company mission

To help advance our understanding of our customers and business performance.

Job

Company

Role

Who you are

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 optimization; hands-on use of Gurobi 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

What the job involves

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

Our take

As large enterprises digitise at increasingly complex rates, data solutions and advanced analytics are becoming increasingly vital services. Bled360 is a data science solution provider helping these companies leverage the data they harness in transformative ways.

Consisting of data scientists and engineers, the company aids large enterprises in machine learning operations, AI integration and data governance. Overall, it helps to boost the efficiency of data usage.

Blend360 has also been strategically growing through the acquisition of SMEs, in part funded by its 2022 Growth Equity investment. Companies it has acquired include FutureproofAI, enhancing its service offerings and customer base. Its acquisition of Montevideo Labs also enhances its position in LatAm regions.