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
$125,000 - $150,000 a year