CEGIS - Data Scientist (4-6 yrs)

Position: Data Scientist - Tamil Nadu Financial Data Analytics Unit (TN-FDAU)

Location: Chennai

Position Summary:

- We are looking for an innovative and results-driven Data Scientist to join our team.

- As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to extract valuable insights from complex data sets.

- The ideal candidate should possess a strong background in statistics, programming, and machine learning, with the ability to translate findings into actionable business strategies.

- The role will report to the FDAU Head / Lead and would require active interaction with other team members (Economist, Business Analyst, Data Engineers, etc), senior researchers, consultants and partner organisations for effective project delivery.

Role and Responsibilities:

- Problem Statement formulation

- Participates actively in the formulation of the problem or the objective statement, along with the Lead / Business Analyst and the Economist including, but not limited to, technical / modelling or data constraints

- Data Collection and Preparation

- Collaborates with Data Engineers/Analysts to collect, clean, and preprocess large volumes of structured and unstructured data from various sources including databases, APIs, spreadsheets, etc for analysis

- Ensures data availability and quality

- Creates the analysis dataset, including creation of derived variables

- Statistical Analysis and Modeling

- Works with the Economist in assessing various modelling strategies and finalising the appropriate one (model, methodologies, etc), clearly documenting the reason for the choice and the expected outcomes

- Applies strategy / model development methodology and testing to the analysis dataset

- Develops and implements machine learning models to predict outcomes and identifies patterns, where appropriate

- Uses machine learning models developed to build predictive models and classifiers, tuning parameters for optimal performance

- Optimises models for performance and scalability

- Exploratory Data Analysis

- Performs Exploratory Data Analysis (EDA) to understand characteristics of data including visualising data distributions, identifying outliers, and uncovering preliminary patterns in data

- Prepares the initial draft of insights/presentation for internal discussion

- Identifies relevant features and variables to enhance model accuracy

- Collaborates with the Economist or other domain experts to incorporate industry- specific knowledge into analyses

- Data Insight and Visualization

- Collaborates with the Business Analyst/Economist to interpret the results of analyses and models, to provide actionable insights assisting the organisation to make effective decisions

- Creates visualisations to effectively communicate complex findings and insights to stakeholders to convey trends, patterns, and anomalies

- Develops interactive dashboards for ongoing monitoring and reporting, where needed Profile

Education:

- Postgraduate in Quantitative discipline (Mathematics / Statistics) or Economics or other data centric disciplines from a reputed institution

- Skilled in using tools like R, Stata, Python

- Skilled in machine learning algorithms, statistical modelling, and data analysis.

- Familiarity with big data technologies and distributed computing (e.g., Spark) is a plus.

Experience & Expertise:

- 4 to 6 years' proven experience in statistical modelling and analysis, especially involving Government's administrative datasets

- Skilled in handling large and disparate datasets, including real-world data

- Experience of designing experiments, testing hypotheses, building models, conducting advanced and complex multi-dimensional data analysis

- Demonstrated experience of application of advanced statistical, predictive modelling, machine learning techniques to build, maintain, re-calibrate, and redevelop models / algorithms

- Strong problem-solving skills and the ability to think critically about business challenges

- Excellent communication skills with the ability to explain complex concepts to non- technical stakeholders

Personal Characteristics and Desired Qualities

- Ability to build and maintain positive and collaborative relationships both within and outside the organisation

- Ability to set priorities, plan timelines and meet deadlines.

- Intellectual curiosity and ability/willingness to constantly learn

- High ability to collaborate and actively listen to others, understanding and valuing others' views

- Public-spirited and generous temperament

- Continuous Learning and Research

- Stay abreast of the latest developments in data science, machine learning, and related fields.

- Contribute to research activities and evaluate emerging technologies for potential implementation

Location and Compensation:

- This role will be based out of Chennai. Remuneration will be competitive with government sector pay scales and will depend on the candidate's experience levels.