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Data Scientist

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Ocean Blue Solutions

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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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.

Job Responsibility:

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

Additional Information:

Job Posted:
March 04, 2026

Work Type:
Remote work
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