Role overview
Job Title:
Data Scientist
Location:
Remote
Employment Type:
Full-Time
About The Role
We are looking for a
Data Scientist
to join our analytics team and help transform data into actionable insights. The ideal candidate will have strong analytical skills, experience with machine learning, and the ability to communicate findings effectively to stakeholders.
Key Responsibilities
- Collect, clean, and analyze large datasets from multiple sources.
- Develop predictive models and machine learning algorithms to solve business problems.
- Perform statistical analysis and interpret results to guide decision-making.
- Collaborate with cross-functional teams to identify opportunities for data-driven solutions.
- Design and implement data pipelines and automation for scalable analytics.
- Visualize data and present insights through dashboards and reports.
- Stay updated on emerging trends in data science, AI, and analytics.
Qualifications
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.
- 3+ years of experience in data science or analytics.
- Proficiency in Python, R, or similar programming languages.
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn).
- Experience with SQL and relational databases.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Excellent problem-solving and communication skills.
Preferred Skills
- Experience with big data technologies (e.g., Hadoop, Spark).
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Background in deep learning or NLP.
- Understanding of business intelligence and data governance.
What you'll work on
- Collect, clean, and analyze large datasets from multiple sources.
- Develop predictive models and machine learning algorithms to solve business problems.
- Perform statistical analysis and interpret results to guide decision-making.
- Collaborate with cross-functional teams to identify opportunities for data-driven solutions.
- Design and implement data pipelines and automation for scalable analytics.
- Visualize data and present insights through dashboards and reports.
- Stay updated on emerging trends in data science, AI, and analytics.
What we're looking for
- Experience with big data technologies (e.g., Hadoop, Spark).
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Background in deep learning or NLP.
- Understanding of business intelligence and data governance.