Senior Data Scientist
Senior Data Scientist
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Job Description
This role requires the data scientist to be a handson software developer and interested in solving real world physicsbased problems.The work will involve management and problem analysis data exploration and preparation data collection and integration AI/machine learning modelling and operationalization.
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 analysis and interpretation. Display drive and curiosity to understand the business process to its core
- Understand new data sources and process pipelines and catalog/document them
- Work with various databases such as SQL or graph databases and other source systems
- Apply a variety AI/ML and advanced analytics techniques to perform classification or prediction tasks
- Run experiments and test models using crossvalidation A/B testing bias and fairness etc.
- Maintain and update the analytics software platform (Python)
- (Help to) create data pipelines for more efficient and repeatable data science projects
- Establish best practices around AI/ML production infrastructure
- Condition Monitoring Time series Analytics
- Upskill yourself (through conferences publications courses local academia and meetups)
Qualifications :
- A bachelors or masters degree in computer science data science operations research statistics applied mathematics or a related quantitative field such as economics engineering and physics is preferred. Experience in more than one area is strongly preferred
- Relevant experience with 5 years
- 3 years of relevant project experience in successfully launching planning executing of data science projects. Preferably in the domains of imaging systems risk modelling customer behavior prediction quality assessment and/or factory automations
- Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression random forest boosting trees text mining hierarchical clustering deep learning convolutional neural network (CNN) recurrent neural network (RNN) Tdistributed Stochastic Neighbor Embedding (tSNE) graph analysis etc
- Strong knowledge of math probability statistics and algorithms
- Ability to write robust productionready Python code
- Adept in agile development methodologies
- Selfdriven curious and creative
- They must demonstrate the ability to work in diverse crossfunctional teams in a dynamic business environment
- Should be confident energetic selfstarters. Ability to make progress on large projects independently or as part of a team
- Strong 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 race colour 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
