We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while crafting a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
Key Responsibilities:
Overall responsibility The person in this job role would be using machine learning & data science techniques to help in development of analytics based-solutions by making sense of messy datasets, using variety of data sources for predictive modeling, perform ad hoc data analysis thereby contributing towards informed decision making.
- Working with the business partners/team to understand the requirements & define the problem/question.
- Acquire, join & mine data from different data sources (Oracle DB, Tableau Data Source, Salesforce) using a range of data science tools (Alteryx, Tableau Prep, SQL, Python).
- Iterative data exploration/visualization & statistical analysis to identify plausible correlations in the data. Participate in brainstorming sessions with the business partners/team to align the observed correlations in the data with established business processes.
- Identify & discuss the algorithm type (machine learning problem type), model evaluation KPIs with the team. Perform feasibility checks to understand if the problem can be solved using machine learning.
- Building & testing predictive models. Understanding bias-variance tradeoff, cases of over-fitting/under-fitting & resolution techniques. Taking measures to follow ML best practices.
- Discussion & explanation of performance KPIs to stakeholders to ensure interpretation in business context.
- Model deployment & performance validation/monitoring at regular intervals. Iterative hyper-parameter tuning/data mining/feature engineering to improve model performance while seeking feedback from the stakeholders to incorporate business knowledge back to the model.
- Work with the team to document processes & requirements in a way that can be understood by all business partners.
Qualifications:
- A masters degree in a quantitative discipline or any of the following fields of study (data science & business analytics, statistics, economics, operations research).
- Minimum 3 years of both technical & work experience required.
- Working knowledge on various data science tools (Python, SQL, Alteryx, Tableau Desktop, Tableau Prep) to capture & mine data (both structured & unstructured) from variety of data sources (Salesforce, Oracle Db, Tableau data source).
- Data visualization skills for ad hoc & exploratory data analysis. Ability to proactively brainstorm ideas with the team, report data findings & observations to the stakeholders.
- Working knowledge (2-3 years industry experience) on building/implementing machine learning models. An understanding on various data science techniques (Classification, Regression, Clustering), bias-variance trade off, over-fitting, under-fitting & model hyper parameters (tree-based models) would be good.
- Ability to acquire, analyze, and structure large amounts of data to provide key business insights.
- In general, no travel is required for this position.
- Position can be based remotely in any location in the USA
Qualified Applicants must be legally authorized for employment in the United States. Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in the United States.
Why us?
Working at Siemens Software means flexibility – Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you’d expect from a world leader in industrial software.
A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We’re dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
Siemens Software. Transform the Everyday
The hourly range for this position is $38.99 to $70.19 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidates work location as well as additional factors, including job-related skills, experience, and relevant education/training. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave and PTO for non-exempt employees.
#LI-PLM
#LI-REMOTE
#SWSaaS
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.
feature-engineering Data Analyst statistics Data Science Python Predictive models plm data-visualization Oracle cluster-analysis Salesforce SQL data-mining Machine Learning Analytics regression algorithms Model deployment alteryx Classification Algorithms