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Full Time | Hybrid

Senior Data Science/Data Analyst

Are you passionate about turning data into actionable insights? If so, we want you on our team!

What You’ll Do:

  • Utilize advanced statistical techniques to analyze large datasets, identifying patterns, trends, and relationships that influence business outcomes.
  • Develop and deploy predictive models using machine learning algorithms to forecast trends and behavior, enhancing strategic decision-making across the company.
  • Conduct data mining activities to extract valuable information from vast unstructured data sets, converting raw data into actionable insights.
  • Design and deliver comprehensive visual reports and dashboards using state-of-the-art visualization tools, providing stakeholders with clear, actionable insights derived from complex data analyses.
  • Work closely with various business units to understand their data analytics needs and provide technical solutions that support their objectives.
  • Ensure the accuracy, consistency, and reliability of analytic systems and data streams, while planning for scalable solutions to accommodate growing data needs.

What We’re Looking For:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience in a data science or data analytics role.
  • Strong programming skills in Python, R, or similar languages.
  • Expertise in SQL and experience with database management.
  • Proficient in using data visualization tools such as Tableau or Power BI.
  • Familiarity with machine learning frameworks (e.g., Scikit-Learn, TensorFlow).
  • Excellent analytical, problem-solving, and communication skills.

Bonus Points if you have:

  • Experience with big data technologies (Hadoop, Spark).
  • Previous work in cloud environments (AWS, Azure, Google Cloud).
  • Knowledge of advanced statistical techniques and concepts.

What You’ll Get:

  • Performance-based incentives.
  • Health Insurance.
  • Opportunities for professional development and career growth.
  • Vibrant company culture.
  • Work Schedule: Monday to Friday, 09:00 - 17:00.

How to Apply

Interested in this role?
Send your CV and any relevant links to recruiting@technexus.io.

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