Position: Lead / Senior Data Scientist
Company: JIBE
Category: Python
Experience required: 5y
English level: fluent

Job Description: Senior Data Scientist

Position Overview:
We are seeking a highly experienced and accomplished Senior Data Scientist to join our team. As a Senior Data Scientist, you will play a crucial role in driving our data-driven initiatives, contributing to the development and implementation of advanced analytics solutions, and providing strategic insights to support key business decisions. You will work closely with cross-functional teams, including data engineers, business stakeholders, and other data scientists, to develop and deploy innovative models and algorithms that uncover valuable insights from our vast and complex data sets.

Responsibilities:

Lead Data Science Initiatives: Take ownership of data science projects, from inception to execution, collaborating with stakeholders to identify business problems, define project goals, and formulate data-driven solutions.
Statistical Modeling and Analysis: Design and develop sophisticated statistical models, machine learning algorithms, and predictive analytics techniques to extract insights, identify patterns, and uncover opportunities within complex data sets.
Data Exploration and Preprocessing: Explore and analyze large volumes of structured and unstructured data to identify data quality issues, perform data cleansing, feature engineering, and data transformation tasks to prepare data for analysis.
Model Development and Deployment: Build, evaluate, and refine machine learning models and algorithms, leveraging techniques such as regression, classification, clustering, time series analysis, natural language processing (NLP), deep learning, and reinforcement learning.
Feature Selection and Dimensionality Reduction: Identify relevant features and apply dimensionality reduction techniques to optimize model performance and reduce computational complexity.
Performance Evaluation: Develop evaluation frameworks and metrics to assess the accuracy, reliability, and effectiveness of models, performing rigorous testing, validation, and performance tuning to ensure robustness and generalization.
Data Visualization and Storytelling: Present complex analytical findings and insights to both technical and non-technical stakeholders, using data visualization techniques and clear storytelling to effectively communicate results and recommendations.
Mentorship and Collaboration: Provide guidance and mentorship to junior data scientists, promoting knowledge sharing, collaboration, and fostering a culture of continuous learning within the team.
Stay Abreast of Industry Trends: Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies, and proactively identify opportunities to leverage emerging tools and methodologies to drive innovation.
Qualifications:

Education: A master's degree or Ph.D. in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or related disciplines.
Experience: A minimum of X years (typically 5+ years) of professional experience as a data scientist, with a proven track record of delivering impactful insights and solutions in a corporate or research environment.
Strong Analytical Skills: Proficiency in statistical analysis, machine learning techniques, data mining, and predictive modeling. Experience with programming languages such as Python, R, or Scala and familiarity with libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark.
Problem-Solving Aptitude: Ability to frame complex business problems, develop analytical approaches, and translate them into actionable insights and solutions. Strong critical thinking and creative problem-solving skills.
Technical Expertise: Solid understanding of data manipulation, data preprocessing, feature engineering, and model selection techniques. Experience with big data technologies, cloud platforms, and distributed computing frameworks is a plus.
Communication and Presentation: Excellent verbal and written communication skills, with the ability to effectively convey complex technical concepts to diverse audiences. Experience in data visualization and using tools such as Tableau, Power BI, or matplotlib for data presentation.
Leadership and Collaboration: Proven experience leading and managing data science projects, collaborating with cross-functional teams, and mentoring junior team members. Strong interpersonal skills and the ability to work effectively in a collaborative and fast-paced environment.