Data Scientist

2 weeks ago

Thiruvananthapuram, Kerala, India Futuremug Full time

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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