Data Scientist

3 weeks ago

New York, United States Blue Ocean Ventures Full time

As a Data Scientist with a Ph.D., this role will be multifaceted, involving advanced data analysis, statistical modeling, and algorithm development. Person will be responsible for deriving insights from complex datasets, guiding decision-making processes, and driving innovation within the organization.

Responsibilities:

Data Analysis and Exploration:

  • Utilize advanced statistical techniques to analyze large datasets and extract actionable insights.
  • Develop algorithms and models to identify patterns, trends, and correlations within the data.

Statistical Modeling:

  • Design and implement predictive models using machine learning algorithms such as regression, classification, clustering, and time series analysis.
  • Validate models for accuracy, reliability, and robustness.

Algorithm Development:

  • Develop and optimize algorithms for data mining, feature extraction, and anomaly detection.
  • Collaborate with cross-functional teams to deploy algorithms into production systems.

Research and Development:

  • Stay abreast of the latest advancements in data science, machine learning, and related fields.
  • Conduct research to explore novel approaches and techniques for solving complex data-related problems.

Data Visualization and Communication:

  • Present findings and insights to stakeholders using compelling data visualizations, reports, and presentations.
  • Collaborate with business teams to translate analytical findings into actionable recommendations.

Data Governance and Ethics:

  • Ensure compliance with data governance policies and regulations.
  • Uphold ethical standards in data collection, analysis, and usage.

Qualifications:

  • Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Strong background in statistical analysis, machine learning, and data mining techniques.
  • Proficiency in programming languages such as Python, R, or Julia.
  • Experience with data manipulation and visualization tools like SQL, Pandas, Matplotlib, and Tableau.
  • Ability to work with large-scale datasets and distributed computing frameworks such as Hadoop, Spark, or Dask.
  • Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and a passion for tackling real-world challenges using data-driven approaches.

Additional Preferred Skills:

  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with big data technologies such as Kafka, Hive, or Cassandra.

Experience in specific domain areas such as healthcare, finance, e-commerce, or telecommunications.

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