Description:

Lead data science projects from problem formulation to model deployment
Collaborate with cross-functional teams to identify business opportunities for data science projects
Develop and implement machine learning algorithms and statistical models
Conduct exploratory data analysis to uncover insights in large datasets
Build and maintain scalable data pipelines with data engineers
Evaluate and validate models using appropriate metrics and techniques
Present findings and insights to stakeholders clearly and concisely
Stay updated on the latest advancements in data science and machine learning
Mentor and guide junior data scientists in the team

Requirements:

Master's or PhD in Computer Science, Statistics, Mathematics, or related field
Minimum 5 years of industry experience as a data scientist
Proficient in Python or R for data analysis and modeling
Strong knowledge and experience in machine learning, statistical modeling, and data mining
Familiarity with big data technologies like Hadoop, Spark, or SQL
Experience with deep learning frameworks like TensorFlow or PyTorch is a plus
Excellent problem-solving and critical-thinking skills
Outstanding communication and presentation abilities
Capable of working effectively in cross-functional teams
Detail-oriented with the ability to manage multiple projects simultaneously

Opportunity to lead and work on challenging data science projects
Collaborative work environment with cross-functional teams
Continuous learning and development in the field of data science and machine learning
Mentorship and guidance for career growth
Competitive salary and benefits package
Opportunity to stay updated with the latest advancements in the industry