Ocean Blue Solutions Inc
Data Scientist - Remote
Ocean Blue Solutions IncUnited States1 day ago
Full-timeRemote FriendlyEngineering, Information Technology
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.

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