Data Scientist/Engineer

We are seeking a talented and passionate Data Scientist to join our team. As a Data Scientist, you will have the opportunity to work on challenging projects, tackle complex problems, and unlock valuable insights from data.

Job Description:
As a Data Scientist, you will play a pivotal role in extracting actionable insights from data, building predictive models, and contributing to data-driven strategies. You will collaborate with cross-functional teams to solve business challenges, enhance processes, and propel the organization forward with data-driven innovation.

Key Responsibilities:
– Data Analysis: Collect, clean, and preprocess large and complex datasets from diverse sources and find trends.
– Model Development: Develop and implement machine learning models and algorithms to address specific business questions and solve complex problems.
– Data Visualization: Create compelling visualizations and reports to effectively communicate findings and insights to technical and non-technical stakeholders.
– Feature Engineering: Identify and engineer relevant features to improve model performance and accuracy.
– Statistical Analysis: Utilize statistical techniques for hypothesis testing, A/B testing, and experimental design.

– Collaboration: Collaborate closely with data engineers, analysts, and business teams to define project requirements and deliver impactful solutions.
– Model Deployment: Assist in deploying machine learning models into production systems.
– Continuous Learning: Stay current with the latest developments in data science and machine learning, and apply new techniques where applicable.

Qualifications:
Bachelor’s degree in a related field (e.g., Computer Science, Statistics, Data Science). A Master’s or Ph.D. is a plus.
Proven experience as a Data Scientist, with a strong portfolio showcasing your work.
Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch).
Solid understanding of statistical analysis, data modeling, and data mining techniques.
Proficiency in data visualization tools (e.g., Tableau, Power BI) and SQL databases.
Strong problem-solving skills and the ability to translate complex business questions into data-driven solutions.
Excellent communication skills to convey technical findings to non-technical stakeholders.
Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous.
Knowledge of cloud computing platforms (e.g., AWS, Azure) is a plus.

To apply, please submit your resume, a cover letter highlighting your relevant experience, and a portfolio of your data science projects to Click to view; Subject: PH Data Scientist/Engineer_Name.