Duties and Responsbilities
- Perform data analysis and offer insights to inform business decisions.
- Work collaboratively with cross-functional teams to identify and address intricate data challenges.
- Create and deploy data models and algorithms to enhance decision-making processes.
- Employ programming languages and tools for extracting, cleansing, and manipulating extensive datasets.
- Present findings and recommendations to stakeholders using visualizations and presentations.
- Stay current with industry trends and advancements in Data science.
- Take charge of projects, ensuring timely completion in a dynamic work environment.
- Engage in training and developmental activities to augment skills and knowledge.
- Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information.
- Perform the full data modeling and algorithm development cycle: modeling, training, tuning, validating, deploying, and maintaining services.
- Research and develop novel statistical approaches and machine learning/deep learning models that add value to manufacturing processes and product performance improvement.
- Assess the effectiveness and accuracy of data sources and data-gathering techniques.
Qualifications and Experience
- MS or PhD in Computer Science, Engineering, Sciences, Applied Mathematics, or a related field.
- Strong knowledge and understanding of current ML and AI technologies & platforms.
- Knowledge of current technologies and ML frameworks (tensorflow, pytorch, sklearn, keras, etc.).
- Hands-on experience with data engineering/processing frameworks (databricks, spark, dataflow, etc.).
- Data Science prototyping experience.
- Results-driven with a positive can-do attitude.
- Creative problem-solving skills.
- Experience with SQL.
- Excellent verbal and written communication skills.
- Prefer experience with distributed storage and computing tools such as Hadoop and Spark.
- Prefer working knowledge of streaming data solutions.
Desired Skills and Experience
- Experience in the Automotive Industry is highly desireable
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