Data Scientist 04N25

We are seeking a highly-skilled and innovative Data Scientist to join our dynamic team. As a Data Scientist, you will be responsible for analyzing complex datasets to support business decision-making and drive strategic initiatives. You will work collaboratively with cross-functional teams to develop models, algorithms, and frameworks that facilitate data-driven insights and further improve our understanding of market trends. Your role is pivotal in translating raw data into valuable business strategies. You should possess a strong foundation in statistical methods, machine learning, and programming. A successful candidate will also have excellent problem-solving skills and the ability to communicate complex data findings in a clear and concise manner.

Responsibilities

• Analyze large datasets to derive actionable insights and support business decisions.
• Develop and fine-tune predictive models to enhance product offerings.
• Collaborate with engineering teams to implement data solutions effectively.
• Design and develop scalable data-driven models and algorithms.
• Communicate analytical findings and recommendations to non-technical stakeholders.
• Conduct research to advance cutting-edge data science methodologies and techniques.
• Work with stakeholders to identify opportunities for leveraging data to drive solutions.
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
• Utilize machine learning tools and statistical techniques to produce models of outcomes.
• Analyze and interpret trends from complex datasets and transform them into usable insights.
• Maintain and update machine learning pipelines and processes within production environments.
• Collaborate with cross-functional teams to understand company needs and devise possible solutions.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in a data scientist role, preferably within a similar industry.
• Proficiency in programming languages such as Python, R, or SQL is essential.
• Strong skills in data visualization with tools like Tableau, Power BI, or D3.js.
• Advanced knowledge of machine learning frameworks such as TensorFlow or PyTorch.
• Experience in building and deploying machine learning models in production.
• Excellent analytical and problem-solving skills with a strong attention to detail.
• Ability to explain complex results to non-technical stakeholders effectively.
• Comfortable working with cloud computing environments like AWS, Azure, or Google Cloud.
• Demonstrated ability to work independently and collaboratively in a fast-paced environment.