Data Scientist responsible for analyzing complex data sets and developing methods to create actionable insights. Collaborate with engineering teams to improve data quality and deliver business value.
Responsibilities
Oversees data mining using modern tools and programming languages.
Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models.
Drives the implementation of models to uncover patterns and predictions creating business value and innovation.
Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights.
Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences.
Leads a project team of data science professionals and provides guidance, training, and mentoring to less experienced staff members.
Collaborates and communicates with project team regarding project progress and issue resolution.
Represents the data science team for all phases of larger and more-complex development projects.
Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters.
Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
Requirements
Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.
Programming Language/s Certification (SQL, Python, or similar)
Benefits
Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including;
4-12 weeks fully paid parental leave based on tenure
Data Scientist implementing AI solutions in collaboration with customers and a dedicated team. Focus on data preparation, feature extraction, and software development to optimize AI processes.
Senior Data Scientist working at Striveworks contributing to AI solutions for national security and business challenges. Collaborating with cross - functional teams to develop and optimize machine learning models and software solutions.
Intern at Visagio supporting data science and generative AI projects. Collaborating with multi - disciplinary teams to deliver data - driven solutions and insights.
Group Head of Data Product Strategy & Governance responsible for leading governance and data safety at Lloyds Banking Group. Involves strategic direction for Producer - Consumer interaction and data product accountability.
Staff Data Scientist leading data science initiatives at bootstrapped AI company. Architecting models and mentoring a team for revenue - driving outcomes in San Francisco.
Product Data Manager responsible for defining and maintaining quality standards for product data. Working at SKYLOTEC GmbH, a leading manufacturer of fall protection equipment.
Data Scientist Junior at Cogna developing predictive models for educational solutions. Collaborating with diverse teams and utilizing Big Data and Machine Learning techniques in São Paulo.
Data Scientist driving feed relevance and recommendations for creator engagement at Patreon. Collaborating cross - functionally to enhance metrics and content discovery.
Intern supporting Digital Data Science and Analytics team at adidas. Engaging in data analytics tasks, project contributions, and collaborating on insights generation.