Data Scientist
Location: Remote
Overview
Job Description
We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems.
Responsibilities
Data Analysis and Exploration
- Analyze large, complex datasets to identify trends, patterns, and relationships.
- Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses.
- Utilize statistical methods and data visualization techniques to communicate findings effectively.
Predictive Modeling and Machine Learning
- Develop and deploy predictive models using machine learning algorithms.
- Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance.
- Evaluate model accuracy, precision, recall, and other performance metrics.
Data Mining and Pattern Recognition
- Apply data mining techniques to extract actionable insights from structured and unstructured data.
- Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.
- Implement clustering, classification, regression, and other machine learning algorithms as needed.
Experimentation and A/B Testing
- Design and conduct experiments to test hypotheses and validate model assumptions.
- Implement A/B testing frameworks to evaluate the impact of changes and interventions.
- Analyze experimental results and provide recommendations for further optimization.
Data Integration and API Development
- Build and maintain integrations with internal and external data sources and APIs.
- Implement RESTful APIs and web services for data access and consumption.
- Ensure compatibility and interoperability between different systems and platforms.
Collaboration and Communication
- Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders.
- Translate technical findings into actionable insights and recommendations for non-technical audiences.
- Present findings and proposals in clear, concise, and compelling ways.
- Collaborate with analysts and platform teams; participate in reviews, sprints, POCs, and reusable frameworks
Requirements
- Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, Economics, or related field.
- Proven experience in data science, machine learning, or predictive analytics roles.
- Proficiency in programming languages commonly used in data science (e.g., Python, PySpark, R, etc.).
- Strong understanding of statistical analysis, hypothesis testing, and experimental design.
- Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn, PyTorch, etc.).
- Familiarity with data visualization tools and techniques (e.g., Matplotlib, ggplot, Tableau, Power BI, etc.).
- Excellent problem-solving and analytical skills with attention to detail.
- Effective communication and collaboration abilities in a team environment.
- Ability to manage multiple projects and prioritize tasks effectively.
- Exceptional ability to translate complex AI/ML concepts into clear, actionable insights for both technical and non-technical stakeholders.
- Strong collaboration and communication skills to partner effectively with cross-functional teams including business analysts, engineers, and leadership.
- Proficient in producing high-quality technical documentation (design specs, test cases, and user guides) for code and model lifecycle management.
- Oral: Ability to collaborate and communicate with a wide range of partners, including IT and business, across all levels of the organization. Must actively manage expectations with stakeholders.
- Problem Solving: Must understand the business need and develop technical solutions to meet those needs. Innovation, creativity, and critical problem-solving skills are required to be successful in this role. Solutions need to be comprehensive, flexible for future changes, and delivered with a high degree of quality.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
