Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Key Responsibilities:
- Design, develop, and implement advanced machine learning models to solve complex business problems.
- Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities.
- Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders.
- Manage and optimize large datasets using Snowflake and Teradata databases.
- Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.
- Stay updated with the latest advancements in data science, machine learning, and AI technologies.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and development.
- Communicate complex analytical concepts and results to non-technical stakeholders effectively.
Key Technologies & Skills:
- Machine Learning Models: Supervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc.
- AI Techniques: Natural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc.
- Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly, etc.
- Databases: Snowflake, Teradata, SQL, NoSQL databases.
- Programming Languages: Python (essential), R, SQL.
- Python Libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc.
- Data Processing: ETL processes, data warehousing, data lakes.
- Cloud Platforms: AWS, Azure, Google Cloud Platform.
Minimum Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
- Minimum of [X] years of experience as a Data Scientist or in a similar role.
- Proven track record in developing and deploying machine learning models and AI solutions.
- Strong expertise in data visualization tools, particularly Tableau.
- Extensive experience with Snowflake and Teradata databases.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Exceptional communication skills with the ability to convey complex information clearly.
Preferred Qualifications (Provide up to five (5) bullet points: these can include soft skills)
- Excellent communication and collaboration skills to work effectively in cross-functional teams.
- Ability to translate business requirements into technical solutions.
- Strong problem-solving skills and the ability to work with complex datasets.
- Experience in statistical analysis and machine learning techniques.
- Understanding of business domains such as sales, financials, marketing, and telemetry.