Datacor, Inc. Logo

Datacor, Inc.

Senior AI Scientist

Reposted 3 Days Ago
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
The role involves designing and implementing data solutions on AWS, managing cloud applications, optimizing performance, and ensuring data security and integrity. The engineer will collaborate with teams to drive technological innovation using Generative AI.
The summary above was generated by AI

About Us:

Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.

We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.

The Role:

At our core, we empower our top talent with the autonomy to craft innovative solutions that make a real difference—helping our users become better, faster, smarter, and more efficient. In our working team model, you’ll move fast and continuously deliver cutting-edge features by collaborating with a cross functional team. This approach gives our AI scientists and engineers full ownership—from ideation and research to experimentation and scaling groundbreaking products and services that directly impact our users’ daily operations.

We seek curious, humble, and driven individuals who embrace learning as a fundamental part of their journey. If you’re passionate about pushing AI boundaries and making a meaningful impact alongside a supportive, innovative team, this is the place for you.

Responsibilities: 

  • Collaborate with stakeholders to identify new AI opportunities & create intelligent AI applications.
  • Lead MVP development using a test-and-learn approach with cross-functional teams.
  • Iterate from problem framing to prototyping and deploying production-grade solutions.
  • Deliver reliable, scalable AI features in production.
  • Build prototypes and develop data pipelines for deployment.
  • Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback.
  • Clearly communicate efforts and impact to both technical and business audiences.

Qualifications: 

  • Master’s or PhD degree in computational data science, computer science, electrical/computer engineering, or related fields, plus 2 years of relevant experience.
  • Proven expertise in implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models.
  • Familiarity with cloud computing and AI deployment on AWS or Google Cloud.
  • Solid foundation in deep learning, machine learning, statistics, and optimization from coursework or practical experience.
  • Proficient in Python & C++/Java programming through academic or work experience.
  • Expertise in the latest Large Language Models (LLMs) and AI advancements.
  • Proactive in staying updated with evolving AI trends and new LLM releases.
  • Skilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset.
  • Self-motivated, asking critical analytical questions to drive impactful product outcomes.
  • Effective collaborator across teams, including operations, product, and engineering.
  • Strong communication and presentation skills, able to convey complex analysis clearly and actionably.
  • Results-oriented, creative thinker who takes initiative and delivers practical solutions.
  • Committed to inclusivity, respecting diverse perspectives to foster innovation and build great products.

Top Skills

Advanced Analytics
AWS
Aws Iam
Aws Lake Formation
Bi
Big Data
Data Lakes
ETL
Generative Ai
Machine Learning
S3

Similar Jobs

4 Hours Ago
In-Office or Remote
San Francisco, CA, USA
145K-233K Annually
Senior level
145K-233K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Collaborate with cross-functional teams to analyze data, develop strategies, and influence product direction based on quantitative insights and metrics.
Top Skills: LookerMicrostrategyPythonRR-ShinySap Business ObjectsSQLTableau
9 Days Ago
Remote or Hybrid
67 Locations
84K-202K Annually
Senior level
84K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The AI & GenAI Data Scientist will develop AI solutions, including analytical model development, collaborate with clients, and lead teams to meet business goals.
Top Skills: AWSAzureGitGCPKerasLangchainNltkNoSQLPandasPythonScikit-LearnSemantic KernelSQL
4 Days Ago
In-Office or Remote
San Diego, CA, USA
168K-211K Annually
Senior level
168K-211K Annually
Senior level
Cloud • Healthtech • Information Technology
The Senior AI Data Scientist will design and implement AI models for clinical trials, optimizing data pipelines and mentoring junior staff.
Top Skills: AzureLangchainLlamaindexMlflowNeptunePandasPythonPyTorchScikit-LearnWeights&Biases

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account