Position- Data Scientist

Job Type-Full-Time

Experience - 3 - 5 Years

Location: KINFRA IT Park, Thiruvananthapuram

Responsibilities

• Data Analysis and Exploration

o Analyze large, complex datasets to identify trends, patterns, and relationships.

o Conduct exploratory data analysis (EDA) to gain insights and formulate 

hypotheses.

o Utilize statistical methods and data visualization techniques to communicate 

findings effectively.

• Predictive Modeling and Machine Learning

o Handson experience in analyzing and developing forecasting models using 

timeseries data

o Develop and deploy predictive models using machine learning algorithms.

o Perform feature engineering, model selection, and hyperparameter tuning to 

optimize model performance.

o Ensure that model always meet the relevant evaluation metrix

• Data Mining and Pattern Recognition

o Apply data mining techniques to extract actionable insights from structured and 

unstructured data.

o Identify patterns and anomalies in data to detect fraud, predict customer 

behavior, or optimize business processes.

o Implement clustering, classification, regression, and other machine learning 

algorithms as needed.

• Experimentation and A/B Testing

o Design and conduct experiments to test hypotheses and validate model 

assumptions.

o Implement A/B testing frameworks to evaluate the impact of changes and 

interventions.

o Analyze experimental results and provide recommendations for further 

optimization.

• Collaboration and Communication

o Excellent story telling and presentation skills

o Collaborate with cross-functional teams, including engineers, product 

managers, and business stakeholders.

o Translate technical findings into actionable insights and recommendations for 

non-technical audiences.

o Present findings and proposals in clear, concise, and compelling ways.

Requirements

• Bachelors or Masters in Computer Science or Statistics.

• 3 to 5 years of proven experience in data science, machine learning, or predictive 

analytics roles.

• Working knowledge in azure cloud platform is preffered

• Proficiency in programming languages commonly used in data science (e.g., Python 

etc).

• Strong understanding of statistical analysis, hypothesis testing, and experimental 

design.

• Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikitlearn, PyTorch, etc.).

• Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.).

• Excellent problem-solving and analytical skills with attention to detail.

• Effective communication and collaboration abilities in a team environment.

• Ability to manage multiple projects and prioritize tasks effectively.