Manager - PD (Data Scientist)

Job Description

Roles & responsibilities

We are seeking a skilled Data Scientist to join our growing team. The ideal candidate will have a passion for harnessing data to solve complex problems, drive decision-making, and create value. You will work closely with cross-functional teams to analyze data, develop predictive models, and contribute to data-driven strategies that support our business objectives.

Key Responsibilities

• Data Analysis & Modeling: Analyze large datasets to extract insights and build predictive models to solve business problems.
• Machine Learning Development: Design, implement, and evaluate machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Data Wrangling: Clean, transform, and prepare data from multiple sources for analysis and modeling purposes.
• AutoML Implementation: Utilize AutoML tools to streamline model selection and hyperparameter tuning, enhancing model performance and efficiency.
• Cloud Computing: Leverage cloud platforms (e.g., AWS, Google Cloud, Azure) for data storage, processing, and deployment of machine learning models.
• Collaboration: Work closely with cross-functional teams including data engineers, product managers, and stakeholders to define project requirements and translate business needs into data solutions.
• AI Impact Assessment: Evaluate and implement AI technologies that can enhance data science processes and outcomes, keeping abreast of industry trends and emerging technologies.
• Documentation & Reporting: Document methodologies, model performance, and insights for stakeholders, ensuring transparency and reproducibility of analytics processes.
  
  
  

Mandatory technical & functional skills

• Proficiency in programming languages such as Python or R and SQL.
• Experience with machine learning and deep learning libraries and frameworks, including TensorFlow, Keras, and Scikit-learn.
• Strong knowledge of data wrangling tools and techniques (e.g., Pandas, NumPy).
• Familiarity with cloud computing services (Preferably Azure) for data storage and processing.
• Understanding of AutoML tools and frameworks to automate model selection and hyperparameter tuning.
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn) to present insights effectively.
• Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
  
  
  

Preferred Technical & Functional Skills

—Strong oral and written communication skills with the ability to communicate technical and non-technical concepts to peers and stakeholders

—Ability to work independently with minimal supervision, and escalate when needed

Key behavioural attributes/requirements

—Ability to mentor junior developers

—Ability to own project deliverables, not just individual tasks

—Understand business objectives and functions to support data needs

#KGS

Responsibilities

Roles & responsibilities

We are seeking a skilled Data Scientist to join our growing team. The ideal candidate will have a passion for harnessing data to solve complex problems, drive decision-making, and create value. You will work closely with cross-functional teams to analyze data, develop predictive models, and contribute to data-driven strategies that support our business objectives.

Qualifications

This role is for you if you have the below

Educational Qualifications

• Bachelor's degree in Computer Science or a related field (or equivalent work experience).
  
  
  

Work Experience

• 9+ Years of Experience