
Chief Analytics Strategist
19 hours ago
About North-Eastern Services
Transforming Businesses with AIWe are a 10+ year old company dedicated to delivering state-of-the-art AI products and solutions to diverse industries.
Founded by a renowned expert, our mission is to democratize AI and harness global talent from underserved communities.
We have a robust presence in four countries and a dedicated team of over 400 employees, committed to fostering AI transformation journeys worldwide.
At North-Eastern Services, we bridge the gap between AI advancement and its global impact, delivering the most advanced technology solutions.
About the RoleWe seek an experienced Data Scientist to spearhead our data-driven initiatives.
The ideal candidate will architect scalable solutions, apply advanced analytical techniques, and transform raw data into actionable insights that drive strategy and operational improvements.
Key Responsibilities- Drive the design, development, and testing of big data applications to ensure timely delivery of product goals.
- Proactively identify and implement code and design optimizations.
- Collaborate closely with data engineers, analysts, and business teams to analyze requirements and ensure data-driven solutions are effectively implemented.
- Develop end-to-end data solutions, from data collection and cleaning to building and deploying predictive machine learning models.
- Conduct exploratory data analysis using statistical methods to uncover trends, patterns, and actionable insights.
- Create compelling data visualizations, dashboards, and reports to communicate complex findings to technical and non-technical stakeholders.
- Provide data-backed recommendations to support key business decisions and improve strategies.
- Learn and integrate with various internal and external systems, APIs, and platforms.
- Minimum 3+ years of hands-on experience in data science or big data development.
- Proven track record of successfully guiding development projects.
- Expertise in Python and PySpark, including tools like Jupyter Notebooks and environment controllers (e.g., Poetry, PipEnv).
- Hands-on experience with the Databricks platform and Apache Spark.
- Proficiency with relational databases (e.g., PostgreSQL, SQL Server, Oracle) and SQL.
- Strong practical knowledge of data cleansing, transformation, and validation techniques.
- Experience with code versioning tools like Git (GitHub, Azure DevOps, Bitbucket).
- Excellent written and verbal communication skills, articulating complex technical concepts clearly.
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