Offer summary

Qualifications:

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field., Proven experience in a Data Scientist or similar role with strong programming skills in Python or R., Solid understanding of machine learning algorithms and experience with data visualization tools like Tableau or Power BI., Excellent communication and problem-solving skills, with a commitment to ongoing learning..

Key responsabilities:

Analyze large and complex data sets to identify trends, patterns, and insights.

Develop and implement predictive models to support business objectives and optimize models based on performance metrics.

Collaborate with cross-functional teams to understand data-related challenges and communicate findings to non-technical stakeholders.

Mentor junior data analysts, document analysis processes, and participate in brainstorming sessions for innovative data-driven solutions.

Job description

Overview

The Data Scientist role is a critical position within our organization, responsible for deriving insights from complex data sets to drive strategic decisions. This position requires a blend of technical expertise, analytical skills, and business acumen. Data Scientists will work with diverse teams to understand business requirements and develop predictive models that can enhance decision-making processes. In today's data-driven business landscape, the ability to transform data into actionable insights has become an essential function across various sectors. By leveraging machine learning, statistical methods, and advanced data analytics, Data Scientists will enable the organization to innovate, optimize its operations, and stay ahead of competitive trends. This role is vital for any organization looking to enhance its data capabilities and ensure that data-driven strategies shape its future. Additionally, the Data Scientist will be instrumental in fostering a culture of data fluency within the organization, ensuring that team members understand how to leverage data in their respective fields.

Key Responsibilities

Analyze large and complex data sets to identify trends, patterns, and insights.
Develop and implement predictive models to support business objectives.
Collaborate with cross-functional teams to understand data-related challenges.
Visualize data using tools such as Tableau or Power BI.
Communicate findings and recommendations to non-technical stakeholders.
Design experiments and tests to validate hypotheses.
Optimize models based on performance metrics and business feedback.
Organize and prepare data for analysis by cleaning and transforming it.
Stay current with industry trends and technologies related to data science.
Mentor junior data analysts and promote best practices within the team.
Document analysis processes and methodologies for future reference.
Participate in brainstorming sessions to generate innovative data-driven solutions.
Conduct A/B testing to measure the impact of different strategies.
Identify opportunities for process automation and efficiency improvements.
Ensure data integrity and compliance with data management policies.

Required Qualifications

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Proven experience in a Data Scientist or similar role.
Strong programming skills in languages such as Python or R.
Experience with data analysis libraries such as C, NumPy, or Scikit-learn.
Familiarity with database management systems (SQL, NoSQL).
Solid understanding of machine learning algorithms and their applications.
Experience with data visualization tools (e.g., matplotlib, Tableau, or Power BI).
Knowledge of big data technologies (Hadoop, Spark) is a plus.
Excellent communication skills to convey complex technical concepts.
Strong problem-solving skills with attention to detail.
Ability to work independently and collaboratively in a team.
Critical thinking skills to evaluate and interpret data effectively.
Experience with cloud computing platforms (AWS, Azure) is an advantage.
Commitment to ongoing learning and professional development.
Familiarity with programming frameworks (TensorFlow, Keras) is a plus.
Strong organizational skills and ability to manage multiple tasks.

Required profile