Data Scientist/Data Engineer

at  Design Interactive

REQUIREMENTS:

• Minimum 8 years direct industry experience
• Ability to clearly communicate technical and theoretical concepts to non-technical customers
• Comfort in ambiguity
• Expressing ideas clearly and logically
• Effectiveness working as a team member and the ability to work independently and with minimal supervision
• Detail orientation and attention
  Education: Master’s degree in Engineering, Data Science, Artificial Intelligence, Mathematics, Computational Neuroscience, Machine Learning, Statistics, or related field with strong experience data processing and modeling.
  Travel: Position requires a moderate amount of local, overnight and extended travel.
  Physical Functions/Environment: Physical requirements involve performing general office activities

PURPOSE OF POSITION:

We are seeking a highly motivated and talented Data Scientist / Data Engineer who will play a critical part in advancing research and development using cutting-edge data science techniques. You will support DI’s teams by providing expertise and technical products related to data science and engineering, including (but not limited to) time-series data processing, multimodal data modeling, algorithm development, anomaly detection, optimization models, tuning large language models, and advances in AI/ML.

RESPONSIBILITIES:

• Lead predictive modeling and programming, especially with unstructured data (Python, Hadoop, etc.); project examples to demonstrate ability.
• Experience implementing programs, complex algorithms, and models in Python, C#, C++, or Java
• Experience deploying models on end user devices
• Proven past experience developing, designing, constructing, and maintaining data structures, models, physical databases, and algorithms rather than relying on out-of-the-box solutions.
• Applied research experience with data mining (data preparation & analysis, data cleaning, knowledge extraction & interpretation) and coding.
• Applied research experience using machine learning/artificial intelligence techniques to accomplish various types of detection/classification and prediction.
• Communication skills – ability to succinctly translate technical findings to non-technical people; experience writing technical reports and grant proposals.
• Lead knowledge facilitation sessions with subject matter experts.
• Understanding of underlying theories and experience developing solutions using multiple advanced modeling approaches, such as the following: machine learning, reinforcement learning, algorithm design, data analysis, image analysis, feature extraction, and pattern recognition.
• Research literature related to specific project or proposals and provide actionable recommendations.
• Visualization skills (ability to tell a story with data; turn data into insight).
• Lead/Senior Data Scientist is awarded to qualifying candidates who have demonstrated excellence in strategic planning, project management, customer relations, and team supervision and mentoring.