Data Scientist

May 18

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Sonatus

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Accelerating vehicle software innovation

software • software-defined vehicle • data management • networking • cybersecurity

51 - 200

💰 $75M Corporate Round on 2022-12

Description

• 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.

Requirements

• MS or PhD in Computer Science, Engineering, Sciences, Applied Mathematics, or a related field. • Minimum 5+ Years of experience • 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.

Benefits

• Not specified