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.