Lead Data Scientist
BrigitSalary not specified
- Full Time
- Expert & Leadership (9+ years)
$125,000 – $150,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries
Requirements
Candidates must possess a Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field, with a PhD preferred. A minimum of 3 years of proven experience as a Senior or Lead Data Scientist in a commercial environment is required. Applicants should have developed algorithms or implemented solutions involving classification, predictive analytics, product recommendation, pattern recognition, and sentiment analysis, with e-commerce experience preferred. Proficiency in machine learning techniques, particularly supervised, semi-supervised, and unsupervised learning, is essential. Candidates must also demonstrate proficiency in Python and its data manipulation libraries, along with knowledge of NLP algorithms and libraries. Strong understanding of statistical analysis techniques, machine learning algorithms, and data visualization tools is necessary. Experience with big data technologies like Spark and TensorFlow is a plus, as are excellent problem-solving skills and strong communication abilities.
Responsibilities
The Lead Data Scientist will conduct exploratory data analysis to identify patterns, trends, and anomalies in large datasets. They will develop predictive models and machine learning algorithms to address business challenges and enhance decision-making processes. Collaboration with cross-functional teams to understand business requirements and translate them into data-driven solutions is key. The role involves cleaning, preprocessing, and manipulating data to ensure its accuracy and consistency. Additionally, the Lead Data Scientist will implement and deploy scalable solutions for data processing, model training, and evaluation, interpret model results, and communicate findings to stakeholders clearly. Staying updated on the latest advancements in data science and mentoring junior team members on best practices in data analysis and model development are also important aspects of this position.
Skills
Python
Data Manipulation
Classification
Predictive Analytics
Product Recommendation
Pattern Recognition
Sentiment Analysis
Machine Learning (Supervised)
Machine Learning (Unsupervised)
Statistical Analysis
Data Visualization
Spark
TensorFlow
Latitude AI
Develops automated driving technologies for vehicles
About Latitude AI
Latitude AI develops automated driving technologies aimed at enhancing the driving experience. Their primary product is a hands-free, eyes-off driver assist system designed for next-generation Ford vehicles. This system allows drivers to engage in other activities while the vehicle manages driving tasks, thereby making driving safer and less stressful. Latitude AI stands out from competitors by combining the agility of a startup with the manufacturing capabilities of Ford, enabling rapid development and integration of advanced technologies into vehicles. The company's goal is to redefine how people interact with their cars, improving safety and providing drivers with more free time during their journeys.
Key Metrics
Pittsburgh, PennsylvaniaHeadquarters
2022Year Founded
VENTURE_UNKNOWNCompany Stage
Robotics & Automation, Automotive & TransportationIndustries
201-500Employees