Sonatus
Data Scientist
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United States
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Not Applicable
Sonatus is a well-funded, fast-paced, and fast-growing company whose technologies and software help automakers build dynamic software-defined vehicles. With two generations of solutions already on the road with a top global OEM, our vehicle and cloud software solutions are at the forefront of the digital transformation of vehicles. The Sonatus team is a talented and diverse collection of technology and automotive specialists hailing from many of the most prominent companies in their respective industries. Sonatus is looking for a highly motivated Data Scientist to join our team and help us accelerate software innovations for next-generation software-defined vehicles. We are passionate about putting our customers first and creating products that solve real-world problems. Location-wise, candidates should already reside within the SF/Bay Area, CA region as we promote a hybrid work model with 2-3 days in office requirements (for synergy, collaboration, engagement, and camaraderie with peers and management). 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
- 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
- Experience in the Automotive Industry is highly desireable