Senior Data Scientist

About the Company

Analyttica is a rapidly growing leader in data and analytics, driven by a passion for solving complex challenges and delivering high-impact projects. We specialize in tackling transformative initiatives that shape the future of data-driven business, blending the art and science of data to create lasting value.

About the Role

We are seeking a Senior Data Scientist with deep expertise in data science methodologies and exceptional proficiency in Python. You will lead end-to-end analytical initiatives — from problem framing and data preparation to model development, validation, deployment, and monitoring. This role requires strong technical skills, a business-oriented mindset, and the ability to work across teams to deliver high-impact, data-driven solutions.

Responsibilities

• Lead the design, development, and deployment of advanced statistical, machine learning, and AI models to solve complex business problems.
• Collaborate with stakeholders to frame analytical problems, define objectives, and identify relevant data sources.
• Perform data extraction, cleaning, transformation, and feature engineering on structured and unstructured datasets.
• Implement efficient, reusable, and well-documented Python-based data science workflows.
• Conduct exploratory data analysis (EDA) to uncover patterns, trends, and insights.
• Evaluate model performance using appropriate metrics and improve models iteratively.
• Work closely with engineering teams to operationalize and integrate models into production systems.
• Mentor junior data scientists and analysts, reviewing code, methodologies, and project approaches.
• Stay current with emerging tools, libraries, and research in data science and machine learning.

Qualifications

• 4-5 years of experience in data science roles OR equivalent Academic Experience (Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field).
• Expert-level proficiency in Python.
• Strong grasp of machine learning algorithms, statistical modeling, and optimization techniques.
• Experience with data visualization tools and dashboarding.
• Skilled in working with SQL and large datasets; experience with cloud platforms (AWS, GCP, Azure) preferred.
• Excellent problem-solving, communication, and stakeholder management skills.
• Ability to translate complex analytical findings into clear, actionable business insights.

Equal Opportunity Statement

We operate with honesty and integrity, where each individual is empowered to take ownership and make a tangible impact, united by our mission to drive meaningful change and push boundaries.