Lead Data Scientist - Latitude Inc

Responsibilities

• Conduct exploratory data analysis to identify patterns, trends, and anomalies within large datasets.
• Develop predictive models and machine learning algorithms to solve business problems and improve decision-making processes.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Clean, preprocess, and manipulate data to ensure accuracy, completeness, and consistency.
• Implement and deploy scalable solutions for data processing, model training, and evaluation.
• Interpret model results and communicate findings to stakeholders in a clear and concise manner.
• Stay updated on the latest advancements in data science, machine learning, and related fields.
• Mentor junior team members and provide guidance on best practices in data analysis and model development.

Requirements

• Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field. PhD preferred
• Proven experience (3+ years post graduate) as a Sr. or Lead Data Scientist in a fast-paced, commercial environment
• Have developed algorithms or implemented solutions that include classification, predictive analytics, product recommendation, pattern recognition, sentiment analysis. (E-commerce experience preferred)
• Proficiency in machine learning (supervised, semi-supervised & unsupervised)
• Proficiency in Python, specifically using its data manipulation libraries
• Knowledge and experience with NLP (Natural Language Processing) algorithms and libraries within Python and related languages such as R or Scala.
• Strong knowledge of statistical analysis techniques, machine learning algorithms, and data visualization tools
• Experience with big data technologies such as Spark and TensorFlow is a plus
• Excellent problem-solving skills and ability to work independently as well as part of a team
• Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical stakeholders
• Experience working on teams, across functions and able to present to both technical and non-technical audiences and stakeholders
• Demonstrated ability to manage multiple projects simultaneously and prioritize tasks effectively

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