
Data Scientist
2 days ago
Position- Data Scientist
Job Type-Full-Time
Experience 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.
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