Senior Data Scientist

Job Description

We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our projects. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems.

Responsibilities

• Data Analysis and Exploration

o Analyze large, complex datasets to identify trends, patterns, and relationships.

o Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses.

o Utilize statistical methods and data visualization techniques to communicate findings effectively.

o Handson experience in analyzing and developing forecasting models using timeseries data

o Develop and deploy predictive models using machine learning algorithms.

o Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance.

o Ensure that model always meet the relevant evaluation metrics.

o Apply data mining techniques to extract actionable insights from structured and unstructured data.

o Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.

o Implement clustering, classification, regression, and other machine learning algorithms as needed.

o Design and conduct experiments to test hypotheses and validate model assumptions.

o Implement A / B testing frameworks to evaluate the impact of changes and interventions.

o Analyze experimental results and provide recommendations for further optimization.

o Excellent story telling and presentation skills

o Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders.

o Translate technical findings into actionable insights and recommendations for non-technical audiences.

o Present findings and proposals in clear, concise, and compelling ways.

Requirements

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Benefits

Requirements