Senior Data Scientist

2 months ago

Miami, United States Coda Search│Staffing Full time

We are seeking a highly skilled and motivated Data Scientist to join our client. As a Data Scientist, you will be responsible for analyzing complex data sets, developing predictive models, and delivering actionable insights to drive business decisions. You will work closely with cross-functional teams, including data engineers, software developers, and business analysts, to ensure data-driven strategies align with company goals.


Responsibilities

  • Data Analysis and Interpretation: Analyze large and complex data sets to identify patterns, trends, and insights.
  • Model Development: Build, validate, and deploy predictive models using machine learning and statistical techniques.
  • Data Visualization: Create clear and effective data visualizations to communicate findings to stakeholders.
  • Data Cleaning and Preprocessing: Clean, preprocess, and validate data to ensure accuracy and reliability.
  • Collaboration: Work with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Algorithm Development: Develop and implement custom algorithms to solve specific business problems.
  • Reporting: Generate reports and presentations to summarize findings and recommendations.
  • Continuous Improvement: Stay updated with the latest trends and technologies in data science and apply them to improve existing processes.


Qualifications

  • Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of experience in data science or a related field.
  • Technical Skills:
  • Proficiency in programming languages such as Python
  • Experience with data manipulation and analysis libraries (e.g., pandas, NumPy, SciPy).
  • Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong SQL skills for data extraction and manipulation.
  • Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Analytical Skills: Strong problem-solving skills and the ability to think critically and analytically.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely.
  • Team Player: Ability to work collaboratively in a team environment and across departments.
  • Attention to Detail: Strong attention to detail and a commitment to producing high-quality work.


Preferred Qualifications

  • Advanced Degrees: Ph.D. in a related field.
  • Industry Experience: Experience in a specific industry (e.g., finance, healthcare, e-commerce).
  • Project Management: Experience managing data science projects from conception to deployment.
  • Cloud Technologies: Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
  • Software Development: Familiarity with software development practices and version control (e.g., Git).


Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Professional development opportunities and support for continuing education.
  • Flexible work hours and remote work options.
  • Collaborative and innovative work environment.

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