As a key player in developing data-driven solutions to solve real-world business challenges, you will collaborate with customers, perform advanced data analytics, and create predictive models. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
Key Responsibilities
Mentorship & Growth: Mentor team members and lead by example, fostering skills development in machine learning and AI.
Customer Engagement: Guide customers on the opportunities and risks of AI, helping them integrate AI solutions into their operations.
Model Building: Design and develop custom algorithms, data models, and predictive models from scratch.
Data Optimization: Integrate and optimize noisy data from various sources to build and maintain machine learning algorithms.
Collaboration: Partner with stakeholders to understand business challenges and deliver actionable insights through reports and visualizations.
A/B Testing & Analysis: Analyze the outcomes of growth programs and tests, providing data-driven recommendations.
Data Quality Assurance: Ensure the accuracy and quality of data by monitoring and working closely with relevant teams.
Trend Research: Stay informed about industry trends and offer solutions that align with customer needs.
Skills & Qualifications
Experience: 8+ years in data analytics and modeling.
Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks.
Database Expertise: Proficient in relational, key-value, and document databases.
Visualization Tools: Experience with tools such as D3 Dash, Tableau, or ggplot.
Cloud Computing: Proficient in cloud platforms like AWS, Azure, Databricks, and GCP.
Agile Work Environment: Ability to work effectively within an agile team setting.
Clearance: Ability to obtain Public Trust clearance (active clearance preferred).
Preferred Qualifications
Bachelor’s degree in Computer Science, Data Science, or a related field.
Knowledge of full-stack development and software architecture.
