Data Scientist

Position Summary

We are seeking a highly skilled and innovative Data Scientist to join our growing team. The Data Scientist will be responsible for analyzing large datasets, building predictive models, and deriving actionable insights to solve complex business problems. This role requires a strong foundation in statistical analysis, machine learning, and data mining techniques, as well as the ability to communicate findings effectively to nontechnical stakeholders. The ideal candidate will work closely with crossfunctional teams to enhance datadriven decisionmaking and deliver value to the organization.

Responsibilities

• Collect, clean, and preprocess large datasets from various sources to ensure data quality.
• Develop, implement, and validate machine learning models to predict trends, behaviors, and outcomes.
• Analyze complex datasets to uncover patterns, correlations, and insights that support business decisions.
• Build and maintain predictive models and algorithms for business optimization.
• Collaborate with business leaders to understand key objectives and use data to drive solutions.
• Design experiments, conduct A/B tests, and apply statistical analysis to interpret results.
• Visualize data trends, model outputs, and insights using data visualization tools.
• Communicate findings and technical concepts to nontechnical stakeholders in a clear and concise manner.
• Stay uptodate with advancements in data science, machine learning, and AI technologies.

Position Requirements

• Proven experience as a Data Scientist or similar role in data science or machine learning.
• Strong proficiency in programming languages such as Python, R, or similar, with expertise in machine learning libraries (e.g., TensorFlow, Scikitlearn, PyTorch).
• Experience with data manipulation and analysis tools such as SQL, Pandas, NumPy, and similar.
• Expertise in statistical modeling, hypothesis testing, and data mining techniques.
• Familiarity with cloudbased platforms (e.g., AWS, Google Cloud, Azure) and big data tools (e.g., Hadoop, Spark) is a plus.
• Experience with data visualization tools such as Tableau, Power BI, or D3.js.
• Strong problemsolving skills and ability to work with complex and unstructured data.
• Excellent communication skills, with the ability to present technical findings to nontechnical audiences.
• Knowledge of deep learning techniques and frameworks is a plus.

Qualifications

• Minimum of 3 years of experience in data science or a related role.
• Strong foundation in machine learning, statistical analysis, and data modeling techniques.
• Proven experience with largescale data processing and machine learning algorithms.
• Experience in designing and implementing endtoend data science solutions.
• Ability to work in a fastpaced environment and manage multiple projects.
• Experience in a business or productdriven environment is a plus.