Data Scientist - Columbus - Oceanbluecorp

    Oceanbluecorp
    Oceanbluecorp Columbus

    1 week ago

    $85,000 - $150,000 (USD) per year *
    Description

    We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data Scientist, you willleverageyour analytical skills andexpertisein 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 toidentifytrends, 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 tooptimizemodel 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.
    • Identifypatterns and anomalies in data to detect fraud, predict customer behavior, oroptimizebusiness processes.
    • Implement clustering, classification, regression, and other machine learning algorithms as needed.

    Experimentation and A/B Testing

    • Design and conduct experiments to test hypotheses andvalidatemodel 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 andmaintainintegrations 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;participatein reviews, sprints, POCs, and reusable frameworks

    Requirements:

    • Advanced degree (Master'sor Ph.D.) in Computer Science, Statistics, Mathematics, Economics, or relatedfield.
    • Proven experience in data science, machine learning, or predictive analytics roles.
    • Proficiencyin programming languagescommonlyused 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 businessneedand develop technical solutions to meet those needs. Innovation, creativity, and critical problem-solving skillsare required tobe 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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    * This salary range is an estimation made by beBee
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