Data Scientist

Job Overview

We are seeking a talented and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will be responsible for extracting valuable insights from complex datasets to inform strategic decision-making and drive business success. The ideal candidate will have a strong background in statistics, machine learning, and data analysis, coupled with excellent communication skills to effectively convey findings to both technical and non-technical stakeholders.

Key Responsibilities

• Data Analysis and Exploration:
  
  

Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets.

Perform exploratory data analysis to identify trends, patterns, and anomalies.

Develop and implement data cleaning and preprocessing strategies.

• Model Development and Evaluation:
  
  

Design and build predictive models to solve business problems and enhance decision-making processes.

Evaluate the performance of machine learning models using appropriate metrics.

Iterate and optimize models to improve accuracy and efficiency.

• Feature Engineering:
  
  

Identify relevant features and variables to enhance model performance.

Collaborate with domain experts to incorporate subject matter knowledge into feature engineering.

• Data Visualization:
  
  

Create visually compelling and insightful data visualizations to communicate findings.

Develop interactive dashboards for monitoring and reporting.

• Collaboration and Communication:
  
  

Collaborate with cross-functional teams to understand business requirements and objectives.

Communicate complex findings and insights to both technical and non-technical stakeholders.

Work closely with data engineers and IT professionals to ensure seamless integration of models into production systems.

• Continuous Learning and Innovation:
  
  

Stay abreast of industry trends, emerging technologies, and best practices in data science.

Contribute to the development and implementation of innovative data science solutions.

• Data Analysis and Exploration:
  
  

Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets.

Perform exploratory data analysis to identify trends, patterns, and anomalies.

Develop and implement data cleaning and preprocessing strategies.

• Model Development and Evaluation:
  
  

Design and build predictive models to solve business problems and enhance decision-making processes.

Evaluate the performance of machine learning models using appropriate metrics.

Iterate and optimize models to improve accuracy and efficiency.

• Feature Engineering:
  
  

Identify relevant features and variables to enhance model performance.

Collaborate with domain experts to incorporate subject matter knowledge into feature engineering.

• Data Visualization:
  
  

Create visually compelling and insightful data visualizations to communicate findings.

Qualifications

• Master's or Ph.D. in a relevant field (e.g., Statistics, Computer Science, Mathematics).
• 4-5 years of professional experience in AI/ML
• Exp. range between 3 to 7.5 Yrs (Engineer 2 and Engineer 3)
• Hands on understanding of LLMs and latest Gen AI models like Stable Diffusion, ChatGPT, Mid Journey, Claude etc.
• Proven experience as a Data Scientist with a focus on machine learning and statistical modeling.
• Proficiency in programming languages such as Python or R.
• Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn, PyTorch).
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Solid understanding of database systems and SQL.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and collaboration skills.
  
  

Preferred Skills

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of Classic ML Algos, natural language processing (NLP) and deep learning techniques.
• Industry-specific domain knowledge (e.g., finance, healthcare, e-commerce).
  
  

If you are interested Kindly share your resume to [email protected] along with details mentioned below:

• Total Exp :
• Rel Exp :
• Exp in Data Scientist :
• Exp in Machine Learning :
• Exp in Deep Learning :
• Exp in Computer Vision :
• Exp in Neural Networks :
• Exp in Gen AI(Must), Pics, Images, Videos:
  
  

‍



Full time



As per Client's geography



Remote

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