PureSoftware - Senior Data Scientist - Generative AI

Job Description : We are seeking a highly motivated Senior Data Scientist to develop data-driven solutions, build machine learning models, and generate actionable insights that drive business growth. The ideal candidate will possess strong expertise in data science, statistical modeling, machine learning, and cloud-based data platforms, with the ability to translate complex business challenges into scalable analytical solutions.Key Responsibilities : - Design, develop, and deploy machine learning and advanced analytics solutions to solve business problems and improve decision-making.- Conduct exploratory data analysis (EDA) to identify trends, patterns, anomalies, and actionable insights from large and complex datasets.- Develop predictive, classification, clustering, forecasting, and recommendation models using statistical and machine learning techniques.- Collaborate with business stakeholders, product teams, and engineering teams to understand requirements and deliver data-driven solutions.- Design, build, and maintain scalable data pipelines and data processing workflows using AWS services and modern data engineering practices.- Work with structured and unstructured data from multiple sources to support analytics and machine learning initiatives.- Evaluate model performance, perform feature engineering, and optimize algorithms to improve accuracy and business impact.- Deploy, monitor, and maintain machine learning models in production environments.- Communicate analytical findings, recommendations, and business insights through reports, dashboards, and executive presentations.- Ensure data quality, governance, and compliance standards are maintained throughout the analytics lifecycle.- Stay current with emerging trends in Data Science, Artificial Intelligence, Machine Learning, and cloud technologies.Required Skills & Experience : - 5-9 years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields.- Strong programming skills in Python and SQL; experience with R is an added advantage.- Hands-on experience with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar.- Strong understanding of statistical analysis, predictive modeling, and data mining techniques.- Experience working with large datasets and building scalable analytics solutions.- Hands-on experience with AWS services such as S3, Lambda, Step Functions, and other cloud-native data services.- Experience designing and maintaining data pipelines and ETL workflows.- Strong knowledge of data visualization and reporting tools.- Excellent analytical, problem-solving, and communication skills.- Ability to effectively communicate technical concepts and insights to both technical and non-technical stakeholders.Preferred Skills : - Experience with MLOps, model deployment, and monitoring frameworks.- Exposure to Generative AI, LLMs, NLP, or Deep Learning use cases.- Experience with Spark, Databricks, or distributed data processing platforms.- Familiarity with Docker, Kubernetes, and CI/CD practices.- Experience working in Agile development environments.Ideal Candidate : - A results-driven Data Scientist who combines strong analytical capabilities, machine learning expertise, and cloud-based data engineering experience to deliver scalable solutions and measurable business impact. (ref: hirist.tech)