Staff Data Scientist
Staff Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Duties & Responsibilities:
- Work on a team designing innovative software and algorithms to solve realworld problems in industrial processes. Use machine learning techniques statistical tests classical algorithms and physicallymotivated models as appropriate
- Perform indepth exploratory analysis of data from the field and laboratory experiments
- Acquire domain knowledge about mechanical systems to aid in interpretation analysis and model building. Display drive and curiosity to understand the business to its core
- Develop applications according to requirements using a variety AI/ML and analytical techniques
- Maintain and update the analytics software platform (Python)
- Establish best practices around AI/ML production infrastructure including building robust data pipelines and implementing MLops
- Keep abreast of developments in the field
- Collaborate with engineering and product development teams
- Provide daytoday guidance and technical leadership to the data science team: collaborate with team members on their work perform code reviews with a view to ensuring robust software deployments and implementing best practices etc.
Qualifications :
- Minimum 12 years relevant experience
- Expertise with the Python data science ecosystem (pandas scikitlearn PyTorch/Keras etc. and with common machine learning approaches (generalized linear models/regression clustering treebased methods deep learning etc..
- Prior experience implementing data pipelines (cleaning and ETL processes) and MLops (deployment with CI/CD pipelines monitoring and model version control) is a plus
- Experience using data to monitor the function and health of mechanical equipment or with designing or modeling physical systems is a significant bonus
- Proven experience in leading challenging data science projects
- A bachelors or advanced degree in computer science data science operations research applied mathematics engineering physics or related field. Experience in more than one area is strongly preferred
- Strong knowledge of math probability statistics and algorithms
- Excellent data visualization skills
- Takes pride in writing clean robust productionready Python code
- Adept in agile development methodologies
- Outstanding analytical and problemsolving skills
- Must demonstrate the ability to work in diverse crossfunctional teams in a dynamic business environment
- Candidates must be curious creative selfdriven and energetic selfstarters
- Excellent written and verbal communication skills
Additional Information :
With colleagues stretching across the globe we are proud of our diversity. To foster inclusivity we run employee resource groups (ERGs) to provide a safe space for employees to connect and support each other. Our crossbusiness ERGs include Veterans Pride Network Black Employee Network Network and Neurodiversity.
Across our company we recognize excellence culminating in the Smiths Excellence Awards our annual celebration of the most extraordinary activities people and projects that best showcase our strengths and help drive our business forward. We announce these on our annual Smiths Day a global celebration of Smiths around our network.
Join us for a great career with competitive compensation and benefits while helping engineer a better future.
We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of color religion sex sexual orientation gender identity national origin economic status disability age or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics where we celebrate support and embrace diversity.
At no time during the hiring process will Smiths Group nor any of our recruitment partners ever request payment to enable participation including but not limited to interviews or testing. Avoid fraudulent requests by applying jobs directly through our careers website Careers Smiths Group plc
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
