Head of Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

We are looking for a Head of Data Science who plays a leadership position in the data science department and is responsible for overseeing activities of the data science team ensuring proper execution of duties and alignment with the business’s overall vision. The Head of Data Science is responsible for the creation of new data science capabilities for the business by envisioning and executing strategies that will influence the improvement of the business’s performance by enabling informed decision making.

The Head of Data Science proactively works with business executives and various departmental heads across the business in order to provide advanced analytic data modeling systems. The Head of Data Science designs and launches innovative and complex analytic models, utilizing a blend of contemporary and traditional data mining techniques, which can be applied to both structured and unstructured data sets.

Your main duties in flying with us:

• Manages the business’s external data and analytics partners and plays a leading role in the development and design of the departmental vision, capabilities, infrastructure, and quarterly/annual roadmap for the launch of data sciences capabilities.
• Builds the business’s data science talent needs through role definition, recruitment, and development of a team of data scientists that will jointly move the business’s agenda forward.
• Plays a mentorship role to key data science positions, guiding them in them through the execution of their duties, and encouraging their professional growth.
• Creates standardized processes and provides guidance for the Data Scientist team in delivering analytics projects, including research, model development, quality assurance, and visualization.
• Scopes, designs, and implements AI/ML products to support the business’s numerous initiatives and programs with a view of achieving overall objectives and targets. In this position, the candidate matches and optimizes AI/ML products that are fundamental to the business’s products/services and will ultimately improve the consumer experiences.
• Collaborate with cross-functional teams to design, develop, and deliver AI/ML products/projects.
• Tasked with maintaining a deep understanding of the business’s marketplace dynamics. Candidate takes initiative and conducts exploratory data analyses and experimental designs, which will help the business to better understand trends and behavior within these markets and settle on the most suitable strategies to drive success and achievements of goals and targets.
• Present results to stakeholders and work towards creating valuable analytics products.

Mandatory belongings you must prepare:

• Min 12 years of experience manipulating large data sets and building statistical models that are valuable to the stakeholders.
• Strong problem-solving skills with an emphasis on business development.
• Excellent written and verbal communication skills with both internal team and external stakeholders.
• Experience in strategic, operational, and project management.
• Experience in leading high-performing data analyst teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance.
• Experience in using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience in Machine Learning algorithms: Random Forests, regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Google Play, Amplitude, Adwords, Appsflyer, Facebook Insights, etc is a plus
• Experience in data visualization using: Tableau, Google Data Studio, D3, etc is a plus