Principal Data Scientist Resume
Objective : As a Principal Data Scientist, collaborated on a variety of product and business problems with a diverse set of cross-functional partners and became a trusted strategic partner through the structure and clarity of work.
Skills : Advanced proficiency in programming languages and expertise in machine learning frameworks.
Description :
- Focused on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
- Defined, understood, and tested opportunities to improve the products and business and influence roadmaps through insights and recommendations.
- Partnered with cross-functional teams to inform, influence, and execute strategy decisions.
- Identified and measured the success of product efforts through forecasting and monitoring key product metrics to understand trends.
- Used data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
- Used storytelling techniques to communicate insights broadly, including to company leadership teams.
- Applied technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.
Experience
2-5 Years
Level
Executive
Education
Bachelor's In Computer Science
Principal Data Scientist Resume
Headline : As a Principal Data Scientist, used statistical practices, analyzed current and historical data to make predictions, identify risks, and opportunities, enabled better decisions on planned/future events, and applied business knowledge and advanced statistical modeling techniques when building data structures and tools.
Skills : Strong knowledge of big data technologies, Analytical Skills.
Description :
- Collaborated with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic-based solutions from design to deployment.
- Examined data from multiple sources and shared insights with leadership and stakeholders.
- Developed and maintained an understanding of relevant industry standards, best practices, business processes, and technology used in modeling and within the financial services industry.
- Identified improvements to how analytics service the entire function.
- Recognized potential issues and risks during the analytics project implementation and suggested mitigation strategies.
- Prepared project deliverables that are valued by the business and presented them in such a manner that they are easily understood by project stakeholders.
- Worked knowledge of accounting standards as they relate to Current Expected Credit Loss (CECL) standards.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Principal Data Scientist Resume
Headline : As a Principal Data Scientist, provided analytical insights and performed analysis to assist in guiding credit risk assessments and business planning, and participated in a variety of analytical efforts to support model development, automation, business analysis, and reporting.
Skills : Ability to analyze complex datasets and extract meaningful insights, Proficiency in statistical analysis and data mining techniques.
Description :
- Delivered insights to auditors, regulators, rating agencies, model risk management, and other key decision-makers.
- Conducted work assignments of increasing complexity under minimum supervision, Intermediated to advanced professionals within the field.
- Supported the delivery of strategic advanced analytics solutions across the organization with solutions drawing on descriptive, predictive analytics and modeling
- Leveraged a broad set of modern technologies – including Python, R, Scala, and Spark – to analyze and gain insights within large data sets.
- Managed, architected, and analyzed big data to build data-driven insights and high-impact data models.
- Evaluated model design and performance and performed champion/challenger development.
- Analyzed model input data, assumptions, and overall methodology.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Principal Data Scientist Resume
Summary : As a Principal Data Scientist, defined level one and level two goals for data reduction/analysis with PI and MM, and developed cost-effective architectural solutions with software engineers and science teams.
Skills : Data Visualization, In-depth understanding of the specific industry in which they work.
Description :
- Offered on-demand evaluation of proposed approaches.
- Iteratively planned a budget and built pipelines with software and science teams.
- Assisted PI in communicating pipeline significance and impact.
- Established cost-saving methods and procedures.
- Provided strategic advice to management and proposed solutions.
- Ensured program rigor while managing cost, schedule, and risk.
- Tested validity criteria for pipeline verification and validation.
Experience
7-10 Years
Level
Management
Education
Bachelor's In Computer Science
Principal Data Scientist Resume
Objective : As a Principal Data Scientist, conducted analysis, statistics, and data literacy to determine where the challenges and opportunities lie, and managed scientific and software teams for planning, reduction, and analysis pipelines in key projects.
Skills : Ability to apply data science techniques, Problem-Solving.
Description :
- Defined mission objectives and observation strategies.
- Recruited diverse science teams and coordinated efforts.
- Planned and executed outreach programs and events.
- Collaborated with local organizations for broader impact.
- Developed theoretical models and software tools.
- Collaborated with engineers for instrument optimization.
- Collaborated with Principal Investigator (PI) and Mission Manager (MM) to form data analysis pipeline teams for key science areas, a bridge between science leaders and software engineers.
Experience
2-5 Years
Level
Executive
Education
Bachelor's In Computer Science
Principal Data Scientist Resume
Headline : As a Principal Data Scientist defined and executed advanced machine learning models and algorithms to help translate complex business problems and optimized, improved, and innovated ML practices to establish Unity as an industry leader.
Skills : Strong critical thinking,Project Management.
Description :
- Validated hypotheses on new aspects of modeling and potency of new datasets for ML.
- Drove optimization hypotheses by analyzing the drivers for impactful machine learning and arguing the hypotheses and success for the next steps of development.
- Made requirements and communicated data and machine learning capability needs to the product and engineering teams as the authority in Data for ML.
- Drove the overall direction of the machine learning future for Ads to support strategic goals and vision.
- Took research and turned it into concrete product innovations with impact.
- Modeled frameworks (Tensorflow, PyTroch) and understanding of model architectures and mechanisms.
- Explained machine learning and interpreted the modeling efficacy for further improvements.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Principal Data Scientist Resume
Summary : As a Principal Data Scientist, stayed at the forefront of Gen AI research and development, by actively participating in relevant conferences, workshops, and collaborations with the broader AI community, communicating complex technical concepts to both technical and non-technical audiences, and ensuring alignment and buy-in for Gen AI initiatives.
Skills : Communication Skills, Leadership and Mentoring, Research Skills.
Description :
- Designed algorithms to infer key transportation patterns from various data sources.
- Researched and implemented suitable strategies (regression models, ML models) for solving data science problems.
- Found and built real-world data sets for training various models and doing quality checks.
- Productized data science algorithms within the StreetLight InSight platform, in collaboration with the Application Engineering team.
- Created visualizations and dashboards to help tell stories with data.
- Defined and implemented customized and/or cutting-edge solutions for customers.
- Delivered adequate results on deadline, and make compromises to enable scalability and productization of algorithms.
Experience
7-10 Years
Level
Management
Education
Bachelor's In Computer Science
Principal Data Scientist Resume
Headline : As a Principal Data Scientist, recorded of delivery of data-driven insights and advanced analytic models to inform strategic decision-making, trained with machine learning algorithms such as random forest, gradient boosting, deep learning, and support vector machines as well as techniques like natural language processing, bootstrapping, cross-validation, and stratified sampling.
Skills : Advanced-Data Science Techniques, Programming Proficiency.
Description :
- Trained and knowledge of statistical modeling including OLS, generalized linear regression, time series analysis, survival models, and structural equation modeling.
- Tracked with research design, hypothesis testing, design of experiments, analyzing data, and developing actionable recommendations for business units.
- Collaborated and communicated with a variety of audiences and partners.
Presented technical materials to non-technical audiences.
- Led the identification and exploration of new and impactful Gen AI applications across various business functions, with a focus on driving tangible business growth.
- Designed, developed, and implemented innovative Gen AI solutions that address critical business challenges and unlock new opportunities.
- Provided technical leadership and mentorship to junior data scientists and engineers, fostering a collaborative and high-performing team environment.
- Transformed data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision-making.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Principal Data Scientist Resume
Headline : As a Principal Data Scientist, applied a broad variety of statistical concepts (regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand, drove projects or programs which have had proven impact on business strategy and performance through your analytics skills
Skills : Big Data Technologies, Data Engineering Skills.
Description :
- Tracked records for crafting analysis into well-written content.
- Advised, presented to, and served as a thought partner to senior executives.
- Worked independently with business stakeholders to translate business problems into tractable data science projects.
- Led large data science initiatives that involved multiple data scientists and data engineers.
- Mentored and coached junior data scientists.
- Developed and structured projects in a clear, organized, and robust manner to ensure high-quality products.
- Worked with ambiguity, anticipating roadblocks, and scrutinizing assumptions.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Principal Data Scientist Resume
Summary : As a Principal Data Scientist, exhibited creative problem-solving skills, focused on outcomes, adhered to timelines, delivered results, and worked with stakeholders to develop implementation plans for analytical projects to drive adoption and business use.
Skills : Leadership and Project Management, Communication, and Storytelling.
Description :
- Developed and implemented techniques for model monitoring, maintenance, and business evaluation.
- Promoted a data-driven culture throughout the organization, engaged in conversation with the business around the art of the possible using data science.
- Trained with end-to-end model build and delivery, from business understanding to exploratory data analysis to model building and deployment.
- Productionalized real-time, near-real-time, and batch models.
- Trained as a data scientist in a related field.
- Directed experience within the Insurance Industry is desired.
- Worked with actuaries on data science projects is a plus.
Experience
7-10 Years
Level
Management
Education
Bachelor's In Computer Science
