Data Scientist-Finance

As a Data Scientist at HP, your role will be to drive business insights and outcomes by leveraging analytics and data mining techniques. You will work closely with stakeholders in HP Finance to identify opportunities for utilizing company data to enhance product development, marketing strategies, and overall business performance. Your responsibilities will include: - Mining and analyzing data from company databases to optimize product development, marketing techniques, and business strategies. - Assessing the effectiveness and accuracy of new data sources and gathering techniques. - Developing custom data models and algorithms for data sets to drive predictive modeling and optimization of customer experiences, revenue generation, ad targeting, and other business outcomes. - Creating testing frameworks to evaluate model quality and monitoring outcomes. - Collaborating with functional teams to implement models and analyze performance. To excel in this role, you should have a Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field, along with 7 years of experience in data analytics and automation technologies. You should be proficient in statistical computer languages such as R, Python, and SQL, and have experience working with data architectures. Additionally, you should possess knowledge of various machine learning techniques and advanced statistical concepts. Your qualifications should include: - Master's degree in Statistics, Mathematics, Computer Science, or another quantitative field. - 7 years of work experience in Data analytics, automation technologies, Machine learning, Forecasting, Statistical modeling, and Data mining. - Proficiency in statistical computer languages (R, Python, SQL) and experience with data architectures. - Knowledge of machine learning techniques and advanced statistical concepts. - Strong problem-solving skills and excellent written and verbal communication abilities. Furthermore, you should be familiar with coding languages like C, C++, Java, and JavaScript, as well as statistical and data mining techniques. Experience with databases, web services, machine learning algorithms, and distributed data tools will be beneficial for this role. In summary, as a Data Scientist at HP, you will play a crucial role in driving business outcomes through data-driven insights and analytics. Your expertise in data mining, statistical analysis, and machine learning will contribute to the success of HP's digital solutions team within Finance. As a Data Scientist at HP, your role will be to drive business insights and outcomes by leveraging analytics and data mining techniques. You will work closely with stakeholders in HP Finance to identify opportunities for utilizing company data to enhance product development, marketing strategies, and overall business performance. Your responsibilities will include: - Mining and analyzing data from company databases to optimize product development, marketing techniques, and business strategies. - Assessing the effectiveness and accuracy of new data sources and gathering techniques. - Developing custom data models and algorithms for data sets to drive predictive modeling and optimization of customer experiences, revenue generation, ad targeting, and other business outcomes. - Creating testing frameworks to evaluate model quality and monitoring outcomes. - Collaborating with functional teams to implement models and analyze performance. To excel in this role, you should have a Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field, along with 7 years of experience in data analytics and automation technologies. You should be proficient in statistical computer languages such as R, Python, and SQL, and have experience working with data architectures. Additionally, you should possess knowledge of various machine learning techniques and advanced statistical concepts. Your qualifications should include: - Master's degree in Statistics, Mathematics, Computer Science, or another quantitative field. - 7 years of work experience in Data analytics, automation technologies, Machine learning, Forecasting, Statistical modeling, and Data mining. - Proficiency in statistical computer languages (R, Python, SQL) and experience with data architectures. - Knowledge of machine learning techniques and advanced statistical concepts. - Strong problem-solving skills and excellent written and verbal communication abilities. Furthermore, you should be familiar with coding languages like C, C++, Java, and JavaScript, as well as statistical and data mining techniques. Experience with databases, web services, machine learning algorithms, and distributed data tools will be beneficial for this role. In summary, as a Data Scientist at HP, you will play a crucial role in driving business outcomes through data-driven insights and analytics. Your expertise in data mining, statistical analysis, and machine learnin