Data Scientist - Advanced
Data Scientist - Advanced
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
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Job Description:
EMPLOYER: Liveline Technologies Inc.
POSITION TITLE: Advanced Data Scientist
HOURS / WEEK: 40
JOB SITE LOCATION: 11820 Globe Street Livonia MI 48150
DUTIES: Liveline Technologies Inc seeks an Advanced Data Scientist based out of our office at 11820 Globe Street Livonia MI 48150. This is a hybrid position whereby the employee will work both from home and from the aforementioned office address. Hence the employee must live within a reasonable commuting distance of the aforementioned office address. This position requires domestic travel as needed up to 15. Design develop and iterate on world class algorithms and predictive models leveraging statistical machine learning and AI methods particularly in the areas of time series forecasting and anomaly detection. Deploy models for inference within mission critical manufacturing environments optimizing for realtime and near time response. Define model success provide evidence regarding the performance of your models. Present and communicate the data insights/findings (preferably actionable insights) to both specialists as well as a nontechnical audience. Provide technical direction and supervision to data science team. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Collaborate with business subject matter experts to select the relevant sources of information. Make strategic recommendations on data collection integration and retention requirements incorporating business requirements. Collaborate with process domain experts on what data to collect and quality of data. Define Metrics for ML model and hyperparameter optimization.
MINIMUM REQUIREMENTS: Masters degree (or foreign equivalent) in Mechanical Engineering Electrical Engineering Data Engineering Computer Engineering or Computer Science or related field and 3 years of experience in the job offered or related. Experience must include: 3 years of industrial experience using predictive models and data science. Experience with time series data analysis. Experience in DL including LSTM RNN and CNN. Experience with cloud technologies including AWS Azure Databricks and Hadoop/Spark. Experience working with data ingestion pipelines or data warehouse. Experience applying Bayesian techniques. Experience working with data analysis libraries like Numpy Pandas Scikitlearn SciPy Matplotlib PyTorch Tensorflow Pyro Spark ML or StatsModel. Experience working on Linux ML libraries and compilation. Experience using statistical packages for analyzing large datasets. Experience with one of the following languages: MatLab Python R C C or java. Experience working with data visualization. Experience in advanced machine learning methods including comprehension of theory modeling/identification strategies limitations and pitfalls. Experience with Code development tools including GitHub. Experience deploying models in local or cloud environments.
OTHER: Domestic travel required as needed up to 15
If offered employment must have legal right to work in U.S.
Position Type:
RegularAdditional Locations:
Additional Information:
Cooper Standard is proud of its diverse workforce and committed to providing equal employment opportunities to applicants and employees without regard to race color religion sex national origin genetic information physical or mental disability age veteran or military status or any other characteristic protected by applicable law. We are dedicated to creating an environment at work that not only values diversity but also encourages inclusion and a sense of belonging. We firmly believe that a diverse workplace fosters an environment where our employees can flourish and provide superior service to our customers. Because we recognize and value the range of ways in which people acquire experiences whether personal professional or via education or volunteerism we invite interested applicants to evaluate the key duties and requirements and apply for any opportunities that fit your experience and qualifications. Applicants with disabilities may be entitled to reasonable accommodations under the Americans with Disabilities Act as well as certain state and/or local laws. If you believe you require such assistance to complete our online application or to participate in an interview you (or someone on your behalf) may request assistance by emailing with a description of the accommodation you seek. Application materials submitted to this email address will not be considered.Remote Status:
OnsiteEmployment Type
Full-Time
