NCS is looking for a Senior data scientist to address challenging data science problems by discovering information hidden in vast amounts of data using techniques in statistics, machine learning, and data mining. The data scientist will work closely with business users, project managers, and database engineers to develop sophisticated analytics algorithms that provide actionable insights. The role requires being a trusted adviser to clients in conceptualizing advanced analytics solutions and enabling their journey in data science.
On regular workdays, the candidate will serve as a Project Executive within NCS’s project management team, supporting another project
Responsibilities:
- Translate customer pain-points into problem statements and architect analytics solutions
- Present results and learnings to technical and non-technical audiences
- Manage full lifecycle of data cleaning, preprocessing, feature engineering, modeling, and deployment
- Validate models with statistically sound justifications for selection and performance
- Build and deploy efficient and scalable advanced analytics models in production
- Design and develop visualizations and dashboards to explain actionable insights
- Contribute to data architecture engineering decisions to support analytics
- Work with project managers and leads on status reporting and solution evaluation
- Collaborate in interdisciplinary teams using waterfall or agile methodologies
- Mentor and upskill peers and juniors and contribute to internal networks
The ideal profile should have:
- Post Graduate Degree in Mathematics, Applied Statistics, Business Analytics or equivalent
- 5 years’ experience in advanced analytics delivery or equivalent academic exposure for interns
- Strong knowledge in feature selection and extraction across varied data types
- Competency in supervised and unsupervised machine learning techniques
- Solid understanding of statistics, NLP, simulation, and optimization
- Proficiency in Python or R, and Apache Spark or similar scripting language
- Experience with data visualization tools such as Tableau, Qlik, Plotly, or ggplot2
- Experience with machine learning model deployment using Docker or Kubernetes
- Ability to communicate complex quantitative analysis in a concise and actionable manner
- Skilled in manipulating and analyzing complex, high-volume, structured and unstructured data
Additions:
- Experience in Amazon Web Services, Microsoft Azure, Cloudera, Hadoop, Spark, or Storm
- Familiarity with associated tools such as Pig, Hive, or Mahout
- Experience with DevOps tools in analytics project delivery
- Experience in application or software development and design
- Exposure to deep learning and reinforcement learning
- Experience in implementing graph database analytics
- Knowledge of database modeling and data warehousing concepts
Why Join NCS
- Lead high-impact Data & AI advisory programs for major enterprises and public sector clients.
- Shape enterprise strategies and governance frameworks that drive real transformation.
- Work with a talented, multidisciplinary team in a collaborative environment.
- Competitive compensation and strong professional development support.
We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.
Together, we make the extraordinary happen.
Learn more about us at ncs.co and visit our LinkedIn career site.
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