Senior Data Scientist

Key Skills

Aartificial intelligence, Analytical and Problem solving, Big Data Technology, Data science techniques, Deep Learning, Effective communication skills, Machine learning techniques, PySpark, Python Programming, PyTorch, R Programming, SaaS, SQL, TensorFlow

Job Description

You will join a team working with next gen technologies on strategic innovation projects in order to identify areas for future growth, new customers and new markets in the data integrity space. You will drive AI/ML innovation and rapid prototyping to bring more value to Precisely’s customers and grow market share.

Responsibilities and Duties:

• Work with architects and fellow team members to develop prototypes for strategic initiatives, with focus on AI/ML
• Provide technical leadership to development teams
• Develop good understanding of competitive landscape, data management industry and market trends to drive AI/ML innovation in Precisely products
• Collaborate with cross-functional teams in Product Management, R&D, Services and Support to align prototype goals with customer challenges
• Evaluate, learn, and incorporate new technologies into new and existing products and solutions as applicable
• Work with an agile team that embraces change

Requirements and Qualifications:

• BS/MS/PhD degree in computer science, statistics, data science, data engineering or related technical field
• 4y+ hands-on experience with a variety of AI/ML techniques and advanced analytics, including predictive modeling, data mining, deep learning, etc
• 4y+ Experience with designing, evaluating and deploying AI/ML models using current AI/ML frameworks and tech stacks, big data (distributed) platforms (e.g. Python, R, SQL, SparkR, PySpark, TensorFlow, PyTorch, etc)
• Knowledge of agile development practices
• Strong analytical, problem solving and troubleshooting skills
• Excellent written and verbal communication skills.

Preferred Qualifications: 

• Experience in working with and developing capabilities for software products in areas such as data integration, data quality, location intelligence, data enrichment
• Experience with cloud technologies, SaaS deployment model