Data Scientist

4 weeks ago

Thiruvananthapuram, India CONNECTING 2 WORK Full time

Responsibilities:

 

• Utilize Python programming language to clean, transform, and manipulate large datasets for analysis.

• Develop and implement statistical models, machine learning algorithms, and predictive analytics to solve complex business problems.

• Apply advanced data mining techniques and statistical analyses to identify patterns, correlations, and trends in data.

• Design, develop, and deploy machine learning models and algorithms.

• Perform exploratory data analysis, data visualization, and statistical analysis to uncover insights, patterns and trends in the data.

• Optimize and tune machine learning models for better performance.

• Evaluate and select appropriate tools and technologies for data science projects.

• Continuously monitor and evaluate the performance of models and algorithms and make necessary adjustments to ensure they remain accurate and effective.

• Design and execute experiments to test hypotheses and validate models.

• Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders, to understand project requirements and deliver actionable insights.

• Communicate findings and insights effectively to both technical and non-technical audiences through visualizations, reports, and presentations.

• Stay up to date with the latest advancements in machine learning and data science and propose innovative approaches to solving business challenges.

Qualifications:

• Should have experience in Data Management

• Knowledge of machine learning and Deep learning algorithms and data visualization tools

• Proficiency in python programming language.

• Familiarity with cloud technologies such as AWS, Azure, or Google Cloud.

• Strong problem-solving and analytical skills.

• Knowledge of data visualization tools

• Should have experience in Kafka, Redis, WebSocket

Requirements:

• Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related field.

• Proven experience working as a Data Scientist, utilizing Python and machine learning techniques.

• Strong programming skills in Python, including libraries such as Pandas, NumPy, and Scikit-learn.

• Solid understanding of machine learning algorithms, such as regression, classification, clustering, and deep learning.

• Proficiency in data visualization tools like Matplotlib, Seaborn, or Tableau.

• Experience with SQL and relational databases for data extraction and manipulation.

• Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus.

• Strong analytical and problem-solving skills, with a keen attention to detail.

• Excellent communication and collaboration skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

• A self-driven and proactive mindset, with the ability to work independently and manage multiple projects simultaneously.

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