Data Scientist - Advanced

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 real-time 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 non-technical 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: Master's 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, Scikit-learn, 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: Regular

Remote Status: On-site