At Data2Bots, we build secure and scalable data solutions in the cloud, helping businesses make informed decisions off their data. Our solutions are driven towards identifying organizational data challenges, designing strategies to address them while keeping your business’s needs top of mind without disrupting your business activities. Our consultants have a broad knowledge in building data pipelines, deploying data infrastructure and developing solutions for businesses across industries. With hands-on experience in problem-solving, our experts can help your business grow by reviewing your existing data infrastructure and providing advice for improvement.
Skills, Qualification And Requirements
- Master's degree or PhD in Data Science, Statistics, Computer Science, or a related field.
- Minimum of 10 years of experience as a Data Scientist or a Business Intelligence Specialist.
- Proven track record of successfully applying data analysis and machine learning techniques to solve real-world business problems.
- Strong communication and presentation skills to effectively communicate complex data insights to diverse audiences.
- Excellent problem-solving and analytical skills with the ability to identify patterns and trends in data.
- Ability to work independently and as part of a team in a fast-paced environment.
- Proficient in programming languages like Python, Power BI, or SQL.
- Experience with machine learning libraries and frameworks like scikit-learn, TensorFlow, or PyTorch.
- Familiarity with BI tools and platforms such as Power BI, Tableau.
- Strong understanding of data warehousing and data modelling concept
Responsibilities
- Analyse large and complex datasets using statistical methods and machine learning techniques.
- Develop and implement predictive models to forecast trends and identify future opportunities.
- Build and maintain data pipelines to ensure data quality and accessibility.
- Perform data cleaning and pre-processing to prepare data for analysis.
- Design and implement BI dashboards and reports to communicate key insights to stakeholders.
- Translate complex data analysis into clear and concise business narratives.
- Collaborate with business teams to understand their needs and translate them into actionable data-driven solutions.
- Monitor and track key performance indicators (KPIs) to measure the impact of data-driven initiatives.
Method of Application
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