Data Scientist - REMOTE at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI/ML Tools, Predictive Models, Data Visualization, Data Governance, Deep Learning, Python, R, PySpark, Data Warehousing, ETL, NoSQL, Predictive Analytics, Problem Solving, Stakeholder Management, Business Case Development

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist. In this role, you will provide valuable insights that enhance business operations and drive data-driven decision-making. Your expertise will enable the development of AI/ML tools and predictive models, impacting our partner's ability to improve performance and efficiency. The position requires a critical understanding of machine learning and an ability to communicate complex results to various stakeholders, thereby shaping the future of the organization through informed strategies and innovative solutions. \n Accountabilities Work closely with domain experts to assess business problems and opportunities for machine learning. Design, build, tune, and deploy AI/ML tools in alignment with IT frameworks. Perform large-scale experiments to uncover relationships between data sets. Communicate model performance and trade-offs to stakeholders. Determine requirements for training and evolving deep learning models. Visualize data insights through engaging dashboards and reports. Lead the development of divisional strategies for AI/ML outcomes. Deploy a divisional AI strategy aligned with enterprise goals. Proactively mine data to identify trends and generate business insights. Mentor stakeholders in AI/ML expertise and leadership roles. Collaborate with business units to maximize AI project success. Identify areas for technical improvements and present business cases. Requirements PhD or master’s degree in Statistics, Mathematics, Computer Science, or related field. 5+ years of experience with large-scale data to solve problems. Prior experience in the Manufacturing Industry. Experience in building and deploying predictive models and data pipelines. Familiarity with data science toolkits such as Python, R, and PySpark. Knowledge of data warehousing and ETL concepts. Understanding of emerging technologies like NoSQL databases and predictive analytics. Fluent in data science methodologies and tools. Strong problem-solving and decision-making skills. Ability to communicate complex technical information to non-technical audiences. Demonstrated growth mindset with a passion for learning new technologies. Strong understanding of data governance and management practices. Experience in systems development and project management methodologies. Proven track record in managing stakeholder relationships. Experience in business case development. Benefits Flexible work environment with remote working options. Opportunity to work on innovative AI/ML projects. Collaborative and inclusive culture. Access to professional development resources. Support for continued education and training. Comprehensive benefits package. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

Responsibilities

The Data Scientist will work closely with domain experts to assess business problems and design AI/ML tools. They will also communicate model performance to stakeholders and lead the development of divisional strategies for AI/ML outcomes.