Job summary
Job post source
This job is directly from Lumafield
Job overview
The Data Scientist role at Lumafield focuses on leveraging data science and business systems expertise to provide critical insights and drive operational excellence within the company.
Responsibilities and impact
The candidate will partner with business leaders to identify opportunities, build and maintain business systems, optimize processes, document workflows, train users, and manage projects including external consultants.
Compensation and benefits
Lumafield offers competitive cash and equity compensation, health and wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, and company-wide events.
Experience and skills
Candidates should have 5-10 years in data analysis, business intelligence, and systems, strong SQL and Python skills, experience with data warehouses, ETL/ELT, API integrations, data visualization tools, and business systems implementation.
Work environment and culture
Lumafield values inclusivity, diversity, and encourages applicants eager to learn, fostering a supportive and innovative work environment.
Company information
Lumafield, founded in 2019, specializes in upgrading manufacturing through advanced industrial CT scanning and AI-driven tools, headquartered in Cambridge, MA with an office in San Francisco.
Job location and travel
The company is headquartered in Cambridge, MA, with an office in San Francisco, CA; specific location details for this role are not provided.
Unique job features
The role offers a unique opportunity to work at the intersection of data science and business systems in a startup environment focused on revolutionizing manufacturing technology.
Company overview
Lumafield is a pioneering company specializing in industrial X-ray CT scanning technology, providing advanced imaging solutions for engineers and manufacturers. They generate revenue by offering subscription-based access to their cutting-edge scanning hardware and software, enabling clients to visualize and analyze the internal structures of their products with unprecedented clarity. Founded in 2019, Lumafield has rapidly gained recognition for its innovative approach to non-destructive testing, helping industries improve product design, quality control, and failure analysis.
How to land this job
Position your resume to showcase a blend of data science expertise and hands-on experience with business systems implementation, emphasizing your ability to manage end-to-end projects and drive operational excellence at Lumafield.
Highlight your proficiency in SQL, Python, data warehouse architectures, ETL/ELT processes, API integrations, and data visualization tools like Looker or Tableau as these are critical for the role.
Apply through multiple platforms including Lumafield's official careers page, LinkedIn, and other job boards to maximize your application visibility and chances of getting noticed.
Connect on LinkedIn with Lumafield employees in data science, business intelligence, or systems roles; use ice breakers like commenting on Lumafield’s innovative approach to manufacturing or asking about their experience working on the integration of AI-driven tools in product development.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data analysis,' 'business systems,' 'process optimization,' 'SQL,' 'Python,' 'ETL/ELT,' and 'API integrations' to ensure it passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate applying across multiple platforms, tailor your resume with relevant keywords, and identify LinkedIn contacts to network with, allowing you to focus more effectively on preparing for interviews and refining your skills.
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