As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process.
Objectives
- Collaborate with different business users, mainly Supply Chain/Manufacturing to understand the current state and identify opportunities to transform the business into a data-driven organization.
- Translate processes, and requirements into analytics solutions and metrics with effective data strategy, data quality, and data accessibility for decision making. Operationalize decision support solutions and drive use adoption as well as gathering feedback and metrics on Voice of Customer in order to improve analytics services.
- Understand the analytics drivers and data to be modeled as well as apply the appropriate quantitative techniques to provide business with actionable insights and ensure analytics model and data are access to the end users to evaluate “what-if” scenarios and decision making.
- Evaluate the data, analytical models, and experiments periodically to validate hypothesis ensuring it continues to provide business value as requirements and objectives evolve.
Accountabilities
- Collaborates with business partners in identifying analytical opportunities and developing BI-related goals and projects that will create strategically relevant insights.
- Work with internal and external partners to develop analytics vision and programs to advance BI solutions and practices.
- Understands data and sources of data. Strategizes with IT development team and develops a process to collect, ingest, and deliver data along with proper data models for analytical needs.
- Interacts with business users to define pain points, problem statement, scope, and analytics business case. Develops solutions with recommended data model and business intelligence technologies including data warehouse, data marts, OLAP modeling, dashboards/reporting, and data queries.
- Works with DevOps and database teams to ensure proper design of system databases and appropriate integration with other enterprise applications.
- Collaborates with Enterprise Data and Analytics Team to design data model and visualization solutions that synthesize complex data for data mining and discovery.
- Assists in defining requirements and facilitates workshops and prototyping sessions.
- Develops and applies technologies such as machine-learning, deep-learning algorithm to enable advanced analytics product functionality.
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
- Bachelors’ Degree, from an accredited institution in Data Science, Statistics, Computer Science, or related field.
- 3+ years of experience with statistical modeling such as clustering, segmentation, multivariate, regression, etc. and analytics tools such as R, Python, Databricks, etc. required
- Experience in developing and applying predictive and prescriptive modeling, deep-learning, or other machine learning techniques a plus.
- Hands-on development of AI solutions that comply with industry standards and government regulations.
- Great numerical and analytical skills, as well as basic knowledge of Python Analytics packages (Pandas, scikit-learn, statsmodels).
- Ability to build and maintain scalable and reliable data pipelines that collect, transform, manipulate, and load data from internal and external sources.
- Ability to use statistical tools to conduct data analysis and identify data quality issues throughout the data pipeline.
- Experience with BI and Visualization tools (f. e. Qlik, Power BI), ETL, NoSQL and proven design skills a plus.
- Excellent written and verbal communication skills including the ability to interact effectively with multifunctional teams.
- Experience with working with agile teams.