Formulate business problems and strategic objectives into data science projects
Utilize company data to build appropriate solutions using advanced statistical heuristics and machine learning techniques
Design the best approach to solve business problems, balancing accuracy and time constraints
Identify the most suitable evaluation metrics for each data science solution
Support the business by answering complex questions using advanced analytics
Build scalable machine learning pipelines that will be deployed in production
Perform in-depth exploratory data analysis to uncover hidden insights
Design and run experiments for hypothesis testing, and analyze the results
Mentor and guide junior data science team members REQUIRED EDUCATION, KNOWLEDGE, AND SKILL
Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering)
3-5 years of experience in a data science or similar role
Proven experience in developing various machine learning and deep learning solutions, including time series analysis, classification, regression, and clustering
Proficiency and demonstrated experience in Python data stack libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, Keras)
Proficiency and demonstrated experience in SQL and relational databases
Excellent written and verbal communication skills, with the ability to present complex concepts to stakeholders
Experience in leading data science projects and mentoring junior team members
Continuous learning mindset to stay up-to-date with the latest data science and machine learning advancements
