Data Scientist (AI & ML Specialist) - to 240k + bonus + equity

Salary is 180k to 240k bonus equity

Hybrid position

Seeking an experienced and highly skilled Data Scientist with expertise in Artificial Intelligence (AI), Machine Learning (ML), and Python programming to join our team. The ideal candidate will have a strong background in data analysis, algorithm development, and statistical modeling, with a focus on implementing AI/ML solutions to solve complex business problems. You will work closely with cross-functional teams to design, build, and deploy scalable data-driven models and insights that drive innovation and business success.

Key Responsibilities:

• Data Analysis and Preprocessing:
• Collect, clean, and preprocess large datasets from various sources.
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies.
• Develop and optimize data pipelines for efficient data handling and transformation.
• Machine Learning and AI Model Development:
• Design, develop, and deploy machine learning models using a variety of algorithms such as regression, classification, clustering, and deep learning techniques.
• Implement AI solutions to automate and optimize business processes.
• Fine-tune models for better accuracy, efficiency, and scalability.
• Algorithm Development and Optimization:
• Build and optimize algorithms to handle large-scale data and improve model performance.
• Leverage advanced machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar tools to implement state-of-the-art models.
• Python Programming and Software Development:
• Write clean, efficient, and scalable Python code for data analysis and model development.
• Utilize libraries such as Pandas, NumPy, SciPy, and others to perform data manipulation and analysis.
• Integrate AI/ML models with existing software infrastructure and deploy them in production environments.
• Model Evaluation and Validation:
• Evaluate model performance using appropriate metrics (e.g., accuracy, precision, recall, F1 score).
• Conduct model validation to ensure robustness, reliability, and generalizability of solutions.
• Collaboration and Reporting:
• Work closely with business leaders, engineers, and other stakeholders to translate business requirements into AI/ML solutions.
• Present findings and model results to non-technical stakeholders in a clear and actionable manner.
• Create and maintain documentation for processes, models, and methodologies.

Requirements:

• Proven experience as a Data Scientist, Machine Learning Engineer, or similar role.
• Strong proficiency in Python, with hands-on experience in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of machine learning algorithms and AI techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly) for presenting insights and findings.
• Strong knowledge of data manipulation and statistical analysis techniques.
• Excellent problem-solving skills and the ability to work with complex datasets.
• Experience with cloud platforms and big data technologies (e.g., AWS, Google Cloud, Hadoop, Spark) is a plus.
• Familiarity with version control systems like Git.
• Bachelor's or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.

Preferred Skills:

• Experience in Natural Language Processing (NLP), Computer Vision, or other advanced AI/ML domains.
• Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.
• Familiarity with agile methodologies and working in a collaborative team environment.