Senior Data Scientist
Indexed description
Key responsibilities
- Model development & analysis: Build and refine predictive models, machine-learning algorithms, and statistical analyses to address business challenges.
- Data exploration & cleaning: Collect, preprocess, and analyze large datasets from multiple sources to identify trends, patterns, and anomalies.
- Collaboration: Partner with product managers, engineers, and stakeholders to identify opportunities for leveraging data to drive business solutions.
- Data visualization & reporting: Present findings via compelling visualizations and dashboards to both technical and non-technical audiences.
- Continuous improvement: Stay updated on the latest data-science methodologies, tools, and best practices. Proactively recommend improvements.
- Mentorship: Provide technical guidance and mentorship to junior data scientists and analysts, fostering a collaborative environment.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. PhD is a plus.
- 5+ years of experience in a data science, analytics, or related role.
- Proficiency in programming languages such as Python or R.
- Solid understanding of statistical modeling, machine-learning algorithms, and data-mining techniques.
- Experience with data-visualization tools (e.g., Tableau, Power BI) and cloud platforms (AWS, Azure, GCP).
- Familiarity with database technologies (SQL, NoSQL) and data warehousing.
- Excellent quantitative skills to analyze complex datasets and develop actionable insights.
- Strong ability to break down complex problems into clear, logical steps.
- Proven ability to communicate technical concepts effectively to non-technical stakeholders.
- Experience working in cross-functional teams and managing multiple priorities in a fast-paced environment.
- Prior experience leading data-science projects or mentoring junior team members.
- Demonstrated ability to drive innovation, set team goals, and influence strategic initiatives.
At Perspix.ai, we strive to make AI tangible for organizations of any size, so they can benefit from data-driven insight and thrive in an increasingly digital world.
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