Data Scientist

Job 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

Qualifications

• 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

• N/A