As a Data Scientist at Avertra, you will be instrumental in leveraging complex datasets to develop data-driven insights and predictive models. Your contributions will support strategic decisions and operational efficiencies across our transformative projects. This role suits a dynamic professional eager to apply analytical skills to solve real-world challenges and drive significant business outcomes.
Job Description:
Utilize statistical analysis and machine learning techniques to develop scalable solutions for predictive modeling and data interpretation.
Clean, manage, and analyze large datasets to identify trends and patterns that can inform business strategies.
Collaborate with various teams to define project requirements and deliver bespoke data-driven solutions.
Develop clear visualizations and present findings to stakeholders to support data- driven decisions.
Stay updated with industry trends and advancements in technology and analytics to continuously enhance Avertra’s analytical capabilities.
RequirementsNeeded Competencies:
Innovative and analytical thinker with a passion for solving complex problems.
Excellent teamwork skills, with the ability to collaborate effectively across diverse teams.
High attention to detail and dedication to accuracy.
Proactive in learning new tools and techniques and applying them to business challenges.
Knowledge, Skills and Abilities:
Strong analytical skills with a solid foundation in statistical analysis and predictive modeling.
Ability to effectively communicate complex data insights to non-technical stakeholders.
Strong organizational and project management skills to manage multiple projects simultaneously.
Proficiency in using data visualization tools to translate data into actionable insights.
Experience:
3+ years of experience in a data science role, with a demonstrated ability to
develop and apply machine learning models to real business problems.
Proficiency in programming languages such as Python or R and experience with SQL.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud platforms (AWS, Azure, or Google Cloud).
Practical experience in predictive modeling, data processing, and data management.
Education:
Master’s degree in Data Science, Statistics, Computer Science, or a related field.
BenefitsOur Mission is to Simplify Life. We are looking to Simplify and automate complex decision-making for customer-centric industries, like Utilities, Financial Services, Logistics, and commerce, that drive the world's economies and you have the chance to join the revolution. We are trying to solve huge challenges in today's enterprise that are directly impacting the employee and customer experience.
What can we promise you:
You’ll join a global family of awesome, passionate people that are working together to build a sustainable, scalable ecosystem committed to using logic to create a better experience.
We want you to help us become better. You will be empowered to drive change and innovate.
That we will invest in you. We will give you the opportunity to master your domain and drive excellence.
