Data Scientist driving growth at OnBuy through data insights and predictive models. Collaborating with Product, Marketing, and Seller teams to enhance customer experience and commercial decisions.
About the role
- Senior Data Scientist at Massive Insights Inc. leveraging advanced analytics and statistical models to provide insights for clients' data-driven strategies. Collaborating with teams to enhance data-driven solutions.
Responsibilities
- Develop and implement advanced analytical models and algorithms to derive insights from large datasets, ensuring robust outcomes that inform strategic decisions.
- Collaborate with business stakeholders to understand their goals, providing data-driven recommendations that enhance their operations.
- Translate complex analytical results into clear, concise presentations and reports for both technical and non-technical audiences.
- Lead initiatives in data exploration, cleaning, and pre-processing to ensure data accuracy and reliability for analysis.
- Stay up-to-date with industry trends in data science and machine learning, incorporating new methodologies and tools to enhance our service offerings.
- Mentor and guide junior data scientists and analysts, cultivating an inclusive and innovative team environment.
- Work closely with data engineering teams to ensure effective data architecture and pipelines that support analytical queries and workflows.
Requirements
- Master's degree or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
- A minimum of 5 years of professional experience in data science or related fields, with a strong portfolio demonstrating successful data-driven projects.
- Proficiency in programming languages such as Python, R, or Scala, along with experience using data manipulation and analysis libraries such as Pandas, NumPy, and SciPy.
- Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn) with hands-on experience in building and deploying models.
- Excellent analytical skills and a deep understanding of statistical analysis and hypothesis testing.
- Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to effectively communicate insights to stakeholders.
- Familiarity with big data technologies and platforms (e.g., Hadoop, Spark) is a plus, as well as experience with cloud-based analytics environments (e.g., AWS, Azure, GCP).
- Outstanding communication skills, with the ability to clearly explain complex analytical concepts to diverse audiences.
- Strong problem-solving skills, with an analytical mindset and attention to detail.
- Ability to work well in teams, demonstrating both leadership and collaboration skills.
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