Data Scientist - Flexible Work, ML Modeling & Dashboards

AgileGrid Solutions; United States; On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Paid time off

Flexible working arrangements

Mentorship programs

Job summary

GrabJobs is seeking a highly skilled Data Scientist to analyze large datasets, build predictive models, and deploy data-driven solutions that drive strategic decisions. You will collaborate with engineering and product teams to scale data products and optimize operations.

The ideal candidate has 3+ years in DS/analytics, strong skills in Python/R/SQL, and experience with cloud platforms and BI tools. Join a fast-growing team focusing on innovative data-driven insights.

Qualifications

• Master's or PhD in CS/Engineering/Data Science or related field.
• 3+ years in data science/analytics with measurable impact.
• Experience building scalable data architectures on cloud
• Strong programming in R, Python, SQL; familiarity with Scala/Java/C++ is a plus.

Responsibilities

• Research and identify valuable data sources and automate collection.
• Preprocess and clean structured and unstructured data.
• Develop, test, and maintain scalable code with Git/Github and config management.
• Analyze large datasets to find trends and inform strategy.
• Build predictive models and ML algorithms for business needs.
• Apply ensemble methods to improve model accuracy.
• Create dashboards and reports to visualize insights for stakeholders.
• Collaborate with engineering and product teams for production deployment.
• Stay current with advances in DS/ML/AI.

Skills

Data mining

Machine learning

Statistical analysis

Mathematical modeling

Data modeling

AWS

GCP

Azure

Python

R

SQL

Git/Github

Data pipelines

DevOps

Tableau

Hadoop

Spark

DataFrames

RDDs

Parquet

Avro

ORC

Scalable architectures

Education

Master's or PhD

Tools

Tableau

Hadoop

Spark

Job description

GrabJobs is seeking a highly skilled Data Scientist to analyze large datasets, build predictive models, and deploy data-driven solutions that drive strategic decisions. You will collaborate with engineering and product teams to scale data products and optimize operations.

The ideal candidate has 3+ years in DS/analytics, strong skills in Python/R/SQL, and experience with cloud platforms and BI tools. Join a fast-growing team focusing on innovative data-driven insights.