Data Scientist

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

About The Company

GrabJobs is a leading technology-driven recruitment platform dedicated to connecting talented professionals with top-tier employers across various industries. Committed to innovation and excellence, GrabJobs leverages advanced data analytics and cutting-edge solutions to streamline the hiring process, enhance candidate experience, and deliver measurable results for organizations worldwide. Our mission is to empower businesses and job seekers alike by providing intelligent, efficient, and user-friendly recruitment services that foster growth and success.

About The Company

GrabJobs is a leading technology-driven recruitment platform dedicated to connecting talented professionals with top-tier employers across various industries. Committed to innovation and excellence, GrabJobs leverages advanced data analytics and cutting-edge solutions to streamline the hiring process, enhance candidate experience, and deliver measurable results for organizations worldwide. Our mission is to empower businesses and job seekers alike by providing intelligent, efficient, and user-friendly recruitment services that foster growth and success.

About The Role

We are seeking a highly skilled Data Scientist to join our dynamic team at GrabJobs. In this role, you will be instrumental in analyzing vast datasets to uncover meaningful patterns and insights that drive strategic decision-making. Your expertise will contribute to building sophisticated data products, developing predictive models, and implementing machine learning algorithms that optimize operational performance. The ideal candidate will possess a strong analytical mindset, a passion for research and innovation, and the ability to translate complex data into actionable business strategies. You will collaborate closely with engineering and product development teams to design scalable solutions and ensure the successful deployment of data-driven initiatives that support our company's growth objectives.

Qualifications

• Minimum of 3+ years of experience in a Data Scientist or Data Analyst role, demonstrating a proven track record of delivering impactful data solutions.
• Extensive experience in data mining, machine learning, and operations research, with a solid understanding of statistical analysis and mathematical modeling.
• Proficiency in data modeling, design patterns, and building scalable, secure data architectures, preferably on cloud platforms such as AWS, GCP, or Azure.
• Hands-on experience with data pipelines, automation, and DevOps tools to streamline data collection and processing workflows.
• Strong skills in business intelligence and visualization tools, including Tableau, as well as familiarity with data frameworks like Hadoop, DataFrames, RDDs, and data formats such as CSV, JSON, Parquet, Avro, and ORC.
• Advanced programming skills in R, SQL, and Python; familiarity with Scala, Java, or C++ is considered an asset.
• Educational background with a Master’s or PhD degree in Computer Science, Engineering, Data Science, or a related quantitative field; graduate degrees are preferred.
• Must be a U.S. Citizen, eligible to work legally within the United States.

Responsibilities

• Research and identify valuable data sources, automating data collection processes to ensure efficient and reliable data acquisition.
• Perform preprocessing and cleaning of both structured and unstructured data to prepare datasets for analysis.
• Design, develop, and maintain high-quality, scalable code following best practices, including version control with Git/Github, secure handling of credentials, and configuration management using YAML/JSON.
• Analyze large datasets to discover trends, patterns, and anomalies that can inform business strategies and operational improvements.
• Create and refine predictive models and machine learning algorithms to solve complex business problems and forecast future outcomes.
• Implement ensemble modeling techniques by modifying and combining different models to enhance accuracy and robustness.
• Visualize data insights through effective dashboards and reports using visualization tools, making complex information accessible to stakeholders.
• Develop innovative solutions and strategic recommendations to address key business challenges, aligning data initiatives with organizational goals.
• Collaborate closely with engineering and product teams to integrate data models into production environments, ensuring seamless deployment and scalability.
• Stay updated with the latest advancements in data science, machine learning, and AI to continually enhance analytical capabilities and methodologies.

Benefits

GrabJobs offers a comprehensive benefits package designed to support our employees' professional growth and personal well-being. Benefits include competitive salary packages, health insurance coverage, retirement plans, and paid time off. We foster a collaborative and inclusive work environment that encourages innovation, continuous learning, and career development. Employees have access to training resources, mentorship programs, and opportunities to participate in industry conferences and workshops. Additionally, we promote work-life balance through flexible working arrangements and wellness initiatives, ensuring our team remains motivated and engaged.

Equal Opportunity

GrabJobs is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that diverse perspectives and backgrounds drive innovation and excellence, and we are dedicated to providing equal employment opportunities to all qualified candidates. We welcome applications from individuals of all backgrounds and are committed to creating a supportive environment where everyone can thrive and succeed.