Senior Data Scientist

Key Skills

Analytical and Problem solving, Leadership, Python Programming, C++, Database, C Programming, Framework, SQL, PowerBI, Aartificial intelligence, Machine learning techniques, Data science techniques, A/B Testing, Tableau, R Programming, Algorithms, Neural Networks, Large data sets, Server architectures

Job Description

Data scientists utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. They then use this information to develop data-driven solutions to difficult business challenges. Data scientists commonly have a bachelor's degree in statistics, math, computer science, or economics. Data scientists have a wide range of technical competencies including statistics and machine learning, coding languages, databases, machine learning, and reporting technologies.

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

How you will do it

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of sales effectiveness, productivity improvement, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, sales orders and revenue generation, demand generation and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Manage and synthesize large amounts of information effectively and creatively while having an in-depth understanding of the various sources and the relationships between the data sets.

What we look for

Required

• 10+ years of experience working with and creating data architectures, manipulating data sets and building statistical models, Strong problem-solving skills with an emphasis on product development.
• 10+ years of progressive experience in working successfully in a multinational, matrix driven organization
• Strong problem-solving skills with an emphasis on solution development.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Experience working with and creating data architectures.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Coding knowledge and experience with several languages such as C, C++, Java,
• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Experience visualizing/presenting data for stakeholders using: PowerBI, Tableu, Tableau CRM, Einstein Analytics
• Where legally permissible, if hired, candidate is required to be fully vaccinated against Covid-19 no later than his/her start date, unless candidate has a valid medical condition or sincerely held religious belief precluding he/she from receiving the vaccine.