Data Scientist Lead Resume Sample
Chester Casper
8386 Dovie Walk,
San Francisco,
CA
+1 (555) 793 0027
Work Experience
Data Scientist Lead
05/2018
-
PRESENT
Chicago, IL
- Plans, schedules, and directs work of IPS R&D team in Singapore
- Oversee the planning, design, and development of new applications and/or enhancements to existing applications
- Create charters for New Technology needs and aligned with Product Development as necessary to support the product plans
- Make recommendations on system and software strategies, development, maintenance and support, and cost effective measures to meet or exceed budget and operating goals
- Contribute to data mining architectures, modelling standards, reporting, and data analysis methodologies
- Insure apply quality assurance best practices are followed for data analysis and software projects
- Insure change control and testing processes for modifications to analytical models and application software
- Lead in resolving data mining performance issues. Monitor data mining system performance and implement efficiency improvements
Data Scientist, Lead
06/2014
-
01/2018
Dallas, TX
- Effectively lead and manage technology team to include ongoing performance feedback, annual performance reviews and recognition, as well as future development
- Experience with at least one statistical analytical programming language, including Python or R
- Experience with using relational databases, including MySQL
- Experience in identifying analytic insight in data, developing visualizations, and presenting findings to stakeholders
- Knowledge of object-oriented programming, including Java and C++
- Knowledge of various machine learning algorithms and their designs, capabilities, and limitations
- Build complex extraction, transformation, and loading (ETL) pipelines to clean and fuse data together
Senior Data Scientist Lead
07/2007
-
12/2013
Detroit, MI
- Experience with developing software solutions using Java
- Experience with using Python, R/shiny, Qlik, Tableau, or similar tools for data analysis and visualization
- Experience with multi-dimensional clustering
- Experience with evaluation research, including study design, data analysis, project implementation, analysis or reporting client management, proposal management or writing, and strategic business development in both the private and public sectors
- Knowledge of an evaluation methodology, data analysis, and reporting
- Knowledge of healthcare quality improvement and a CMS environment
- Carry out evaluation design and development analysis plans and conduct linear and logistic regression statistical analysis, factor analysis, cluster analysis, analysis of variance, time series, and significance testing and qualitative research design, management, and interpretation
- Knowledge of Python and related analytical libraries
Education
Oklahoma State University - Tulsa
2002 - 2007
Science's Degree in Computer Science
Professional Skills
- Experience in managing teams of 2-5 contingent staff Prior experience in BI, reporting, business analysis, and project management
- Knowledge of B2B marketing and experience in lead management desired Advanced Modeling and Excel skills and high proficiency in SQL
- Excellent skills using SPSS, R, SAS or python
- Excellent skills using Tableau, Power BI, Cognos, or equivalent visualization software
- Excellent skills using SQL to query, join tables, and create tables
- Excellent skills doing data discovery in an EDW or data lake environment
- Strong coding skills in either Python or R
How to write Data Scientist Lead Resume
Data Scientist Lead role is responsible for analysis, software, modeling, design, excel, sox, retail, finance, training, database.
To write great resume for data scientist lead job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Scientist Lead Resume
The section contact information is important in your data scientist lead resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Data Scientist Lead Resume
The section work experience is an essential part of your data scientist lead resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous data scientist lead responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data scientist lead position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Scientist Lead resume experience can include:
- Advanced data visualization and communication skills
- Experience with building data products using any open source programming languages, including Python, R, TensorFlow, and ElasticSearch
- Experience in architecting/designing/developing enterprise applications using BPM software such as Appian or similar rapid development platform
- Experience with one or more statistical analytical programming languages, including R and Linear Programming
- Experience with determining creatively which analytic approaches and computing techniques are most appropriate for a given data situation
- Experience with training and developing current and new team members, as needed
Education on a Data Scientist Lead Resume
Make sure to make education a priority on your data scientist lead resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data scientist lead experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Data Scientist Lead Resume
When listing skills on your data scientist lead resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical data scientist lead skills:
- Excellent prototyping skills with two or more of the following: Python, Java, R, JavaScript, C++, Scala
- Strong interpersonal, communication and presentation communication skills
- Programming Skills - C# , .net or Javascript
- Data Analysis leveraging languages such as Python, Java, or R Strong experience working successfully in a collaborative environment
- Solid B2B experience solving analytical problems
- Excel analysis skills required
List of Typical Experience For a Data Scientist Lead Resume
1
Experience For Data Scientist, Lead Resume
- Experience with fundamental scientific and applied engineering research
- Experience in leading teams to identify and solve complex technical problems
- Experience with developing data visualizations or dashboards to communicate key insights
- Strong knowledge in data-driven security, statistics and machine learning
- Experience with data science and analytics
- Experience with analytics project management
2
Experience For Data Scientist & Lead Challenge Architect Resume
- Experience with federal health market and finance agencies
- Overall experience of 5-7 years in analytics / data science
- Manage and guide a team of experienced data scientists to drive projects and be accountable for the output of the team
- Develop reporting for project execution and planning, as necessary
- Knowledge of atmospheric modeling and exploitation of data from thermal infrared systems
- Ability and interest to participate in business development activities, such as proposals, marketing briefings, and sales calls
- Work with client and firm executives to identify strategic approaches to business development
- Master new environments quickly
3
Experience For Senior Data Scientist Lead Resume
- Leads multiple projects in an analytic role, and overcome roadblock in data to get things done. Works with minimal guidance and can manipulating and join data from multiple sources into population set for comparative analysis. To be accomplished using a SQL, or No-SQL tool approach
- Partners with senior leadership across the organization to assess need and define business questions. Leads analytic meetings to translate business questions/problems into analytical questions and deliver analytic insights back to the business. Ability to communicate complex methodologies of analytics to a non-technical user
- Works with multi-disciplinary or cross functional teams to plan and build efficient scalable models that can be automated for large scale data analyses, development, validation, implementation and ability to communicate this plan
- Effectively manage diverse assignment with shifting priorities and tight timeframes. Mentor analytic team members to grow their skills and ability. This might include creating training classes on analytic concepts, or leading a monthly journal article review
- Experience with one or more statistical analytical programming languages, including Python and R
- Experience with the implementation of data management best practices, business process reengineering, staff training, and documentation, as needed
- Apply analytic techniques using risk management and econometric methods, as needed
- Experience with conducting strategic and operational workforce planning and building predictive workforce models, including costing or forecasting models
- Experience with conducting quantitative and qualitative workforce data analyses using statistical analysis and data visualization software, including Microsoft Excel Macros, SPSS, and Tableau
4
Experience For Data Scientist Lead / Supervisor Resume
- Communicate effectively with senior clients
- Develop efficient, automated processes for large-scale data analyses and model development, validation, and implementation
- Think creatively and analytically in a fast-paced environment
- Lead technical and non-technical teams
- Apply analytical approach to characterize solutions, and exercise real-time crisis management
- Lead expansion of new Artificial Intelligence (AI) and ML capabilities, specifically projects around computer vision and Natural Language Processing (NLP)
- Create reports and present findings based on statistical analysis and develop persistent monitoring applications for statistical or machine learning processes
- Recruit, retain, and develop careers of data scientists with varying levels of experience
5
Experience For Data Scientist Lead-global Data Security Resume
- Process and modify data and clean up large data sets and documentation, as needed
- Experience with advanced analytic techniques, including machine language and artificial intelligence and and tools, such as Python, data lakes, data wrangling applications, and data visualization software
- Apply descriptive and inferential statistics to discover hidden patterns and relationships in data
- Communicate information in written or oral formats to a senior executive audience
- Show and mentor the organisation how to leverage ‘big data’ to answer complex questions
- Interest in cyber security, technology trends, security threats, and vulnerabilities
6
Experience For Data Scientist Lead Scoring Resume
- Communicate security-related concepts to a broad-range of technical and non-technical staff in an intelligent, articulate and persuasive manner
- Communicate complex quantitative analysis in a clear, precise, and actionable manner Manipulate large volumes of data, create new and improved techniques and/or solutions for data collection, management, and usage
- Tell stories with data, and be able to communicate complex quantitative analysis in a clear, precise, and actionable manner
- Core member of CIL’s data science team responsible for the execution of challenge requirements
- Gather functional and technical system requirements on business processes
7
Experience For SVP, Digital Targeting & Data Scientist Lead Resume
- Provide demonstrations to stakeholders throughout the entire project life-cycle
- Design and implement complex enterprise integrations with industry standard technologies
- Resolve application defects and complete enhancements requests
- Use Appian APIs to develop custom Java plug-ins to deliver complete solutions as needed
- Create prototypes or proof concepts for future concepts
8
Experience For Data Scientist Lead Resume
- Expertise in Appian Enterprise
- Experiece in report development
- Work across a whole range of structured and unstructured data to generate insights on customer behavior
- Explore data assets available and identify the right data sets to be tapped for the business problem
- Identify creative approaches / external data to solve the business problem
- Generate insights from numbers and trends in a complex data environment
- Use open sourced tools like Python and R to mine, clean and generate insights
9
Experience For Data Scientist, Lead Resume
- Work with cross functional teams and partners
- Interface with multiple business areas for analytics support
- Maintain databases of supporting information for analysis to include: warranty claim information (from internal Navistar data), failure modes, Telematics data, product improvements, service dealers, vehicle production and sales date, engine field shipments data, and parts/components
- Familiarity with Warranty Process, Data and its flow through several systems and experience in Warranty Trend analysis, development of dashboards and KPI’s
- Problem solving skills Software design – algorithm / logic development experience, Support maintenance of custom analysis software; includes troubleshooting data issues, updating information tables (IT SDLC process), and checking validity/conformance of system data for SOX Compliance
- Design, implement, and validate your analytic pipelines in Apache Spark, Apache HDFS, Apache Kafka, AWS S3, using Python / R on a state-of-the-art cluster
- Use your machine learning expertise to research and recommend the best analytic approaches to solving the most difficult marketing problems facing our clients
- Develop an understanding of Epsilon’s current analytic capabilities and proprietary datasets
- Identify new analytic capabilities and compare/contrast with existing methods
10
Experience For Data Scientist & Lead Challenge Architect Resume
- Develop analytic requirements and collaborate with Engineering teams to integrate analytic solutions into Epsilon’s product platforms
- Develop new methods of analysis and support adoption of advanced analytical techniques throughout the company
- Actively support the development of new custom-built data systems aimed at informational support of analysis and reduction of the time and cost of doing business
- Simplify complexity, communicate clearly and teach others
- Manage multiple data science projects concurrently
List of Typical Skills For a Data Scientist Lead Resume
1
Skills For Data Scientist, Lead Resume
- Excellent verbal and written communication skills with experience presenting to large and small audiences
- General data analysis skills desired
- Learn these skills is required
- Programming experience, including data extraction, cleansing and manipulation (SQL)
- Solid foundation of statistical modeling and machine learning algorithms and experimental design
2
Skills For Data Scientist & Lead Challenge Architect Resume
- Experience managing or mentoring data analysts
- Experience with building natural language processing (NLP) algorithms
- Good understanding of operating systems (UNIX/Linux and Windows)
- Experience in designing and developing web services and SOAP/REST APIs
- Strong understanding of statistics and modeling techniques
- Experience in managing multi-person tasks, achieving quality, timeliness, and affordability
- Experience with using Python, R, Java, or other programming languages to manipulate and analyze data and automate routine tasks
- Experience in Manufacturing and Supply Chain
- Experience in marketing analytics, especially digital analytics
3
Skills For Senior Data Scientist Lead Resume
- Ideally experience of owning Data Science propositions and innovation in an organisation similar to SopraSteria
- Experience in one of the following areas
- Proven track record of building intuitive statistical model that provide actionable insight to business users
- Experience implementing algorithms or solutions into a production environment
- Good understanding of TCP/IP protocols
- Experience on team management and coaching
- Web Application and Relational Database (SQL Server, Oracle) Experience (functional understanding of database structure)
4
Skills For Data Scientist Lead / Supervisor Resume
- Demonstrated success autonomously managing complex projects that involve multiple work streams
- Experience manipulating large data sets, both structured & unstructured
- Experience with distributed computing, such as Hadoop, Spark, or related technologies
- Experience with federal or commercial consulting
- Experience with a variety of analytic tools, including Python, R, SAS, Tableau, and Spotfire
- Experience with leading technical project teams
- Experience in working with Python and SQL
5
Skills For Data Scientist Lead-global Data Security Resume
- Experience with using R or Python to analyze data and create data-driven visualizations
- Demonstrable experience of Data Innovation Delivery to pilot new ideas in proof of concept, and subsequently larger projects
- Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results
- Experience with Symantec Data Loss Prevention products
- Analytics experience
- 4-7 yrs of Developer experience in Web Based Business Applications or Workflow tools with min 2-3 years in Appian
- Demonstrated ability to communicate technical things to non-technical audiences
6
Skills For Data Scientist Lead Scoring Resume
- Managing and delivering projects
- Provide insight to senior management to support strategic decision-making, preparing and delivering insights and recommendations based on analyses
- Work with machine learning (ML) teams on proper methods of applying spatial data to machine learning
- Implement supervised and unsupervised machine learning algorithms for clustering, classification, and forecasting
- Leading and project managing data science projects
7
Skills For SVP, Digital Targeting & Data Scientist Lead Resume
- Managing and growing data scientists
- Deep understanding of big data systems including map reduce technologies like Hadoop and Spark
- Extensive knowledge of machine learning techniques and workings of underlying algorithms
- Prepare recurring analysis, monitoring, and develop new analysis processes in conjunction with multiple business areas in the company
- Mastery of the following programming languages: Python, R, SQL
- Natural curiosity for exploring data and finding the untold story
- To embed new data techniques in to the business through role modelling, training and design oversight
- Help further drive our culture of learning by fostering exploration and discovery of new ways to apply data science
- Provide non-technical users with data-driven tools for implementing machine learning into workflows, as needed
8
Skills For Data Scientist Lead Resume
- Knowledge of machine learning, data mining, and statistics
- Expert in one or more scripting languages like Scope, Perl, Python, or SQL
- Familiarity with SAS, Scala or Java programming languages
- Demonstrable knowledge of leading-edge analytical techniques
- M.S. or PhD in Applied Mathematics, Statistics, Computer Science, Computational Engineering, Operations Research, or similar
- Lateral thinking, intellectual curiosity, innovative and creative
- Design and implement BPM based solutions using Appian BPM software
9
Skills For Data Scientist, Lead Resume
- Create and maintain a project plan using SDLC and execute rationalization effort
- Perform process mapping, RACI and Six Sigma methodologies
- Work with data designers to put across a compelling story from the insights generated, to senior stakeholders
- Comfortable managing both structured as well unstructured data
- Frame this opportunity as a data science problem, formulating hypotheses and techniques for experimentation
- Develop and innovate on the use of Data Science methods that improve the quality and upgradability of the operating systems produced by COSINE team
10
Skills For Data Scientist & Lead Challenge Architect Resume
- Architect and develop operational models that run at scale through partnership with data engineering teams
- Engage with other engineering teams to champion the use of Data Science practices within the features, products, and services they build
- Manipulate, integrate, and analyze large and complex data sets using SQL and NoSQL database platforms
- Knowledge of analytical modeling
- Integrate data environments, including SQL, HDFS, or Hadoop into analytics workflows
- Expert in one or more statistical software like R, SAS or Statistica etc
- Intermediate user of Warranty Intensive Analytics software - Knowledge of Data Definition Language (DDL)
- Familiarity with Scrum development methodology
List of Typical Responsibilities For a Data Scientist Lead Resume
1
Responsibilities For Data Scientist, Lead Resume
- Good verbal and written communication skills and the ability to interact professionally with business executives
- Solid 5 - 8 years professional experience building predictive and descriptive models
- Prior Experience in Retail Banking / Payments or related domains
- Excellent communication skill and ability to work collaboratively in a dynamic environment
- Experience using at least one of the following tools: Python, R, MATLAB, AMPL, SAS, or other relevant data science tools/environments
- Experience mentoring and/or managing people
- Extensive experience working with large datasets - structured and unstructured
- Experience with document indexing and search technologies (Solr/ElasticSearch)
2
Responsibilities For Data Scientist & Lead Challenge Architect Resume
- Experience in Modeling, Numerical Analysis, and Statistics
- Experience with developing software in Java, C, C++, or other high level languages
- Hands on experience in generating structured insights from big data - collected from different sources and formats
- Experience querying large databases
- For non PhD holders – at least 8 years of industry experience in data science
- Traveling needed and mainly to Greater China Region
- Oversee the ongoing monitoring of model performance, and the process of model retraining if necessary
- Proficiency using one or more programming or scripting language like Python, Scala, or C# to work with data
3
Responsibilities For Senior Data Scientist Lead Resume
- Education: MS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ,
- Proficiency in statistical programing languages such as R, Python and SAS
- Capable of breaking down complex business and technical problems into opportunities for analytical study
- Inherently curious, energized by large challenges, and interested in making a significant impact on one of the largest
- Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services
- Lead, guide, and manage the team of data scientists
- Overall accountable for the team’s delivery of data science projects that drive value for business
- Partner with business stakeholders to understand needs and identify opportunities to apply data science
- Oversee the process of data exploration & preparation, the conduct of experiments, review of model performance, and presentation of results to business stakeholders for their feedback
4
Responsibilities For Data Scientist Lead / Supervisor Resume
- Lead the presentation of key insights to management with actionable recommendations
- Manage the team to facilitate deployment of finalised solutions to production environment
- For PhD holders (in computer science, machine learning, statistics, decision science, mathematics or equivalent) – at least 5 years of industry experience developing data science solutions
- Excellent advanced analytics skills, with prior industry experience developing machine learning solutions for classification, prediction, forecasting and/or anomaly detection problems
- Highly proficient in data manipulation
- Highly proficient in R, Python, Spark
- Strong expertise in at least one of the following areas (or equivalent): deep learning, NLP, graph mining, anomaly detection, large-scale recommender engines, large-scale optimizations, large-scale multivariate time-series forecasting, causal and statistical reasoning
5
Responsibilities For Data Scientist Lead-global Data Security Resume
- Present analysis in a manner accessible by non-practitioners
- Help recruit and set up the data science team in Digital Lab Singapore
- Mentor and train junior level analysts
- Support the organizational strategy and manage projects or innovation streams
- Develop innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as meet design requirements and project timeline
6
Responsibilities For Data Scientist Lead Scoring Resume
- Lead research, evaluation, and recommendation of internal and external data sources and coordinate with data resources
- Serve as the senior technical expert for leadership on data cleansing, variable creation, variable transformation, etc., as well as best-practices in the creation of analytic datasets
- Serve as the consummate technical expert in model development and validation analyses - from driving pragmatic practice of methods to devising novel solutions and diagnostic measures, to coaching and mentoring junior staff
- Provide significant input to senior leadership team and Product Management on process improvement, implementation specifications and production testing
- Provide input to Senior Management Team and Product Management on implementation specifications and production testing
- Act as senior technical expert in development and execution of methods to address needed business diagnostics; review, and aid productization and deployment
- Act as senior technical expert to develop process and metrics to monitor model performance
- Review reports and make recommendations for needed model refits / enhancements
- Research literature to stay current on technical methods to solve specific problems
7
Responsibilities For SVP, Digital Targeting & Data Scientist Lead Resume
- Lead complex projects from model design to deployment
- Knowledge, experience, and expertise in diverse statistical and data mining techniques (e.g. - GLM/Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, text mining, social network analysis etc.)
- Program and review code in Python, Spark, Scala, R, or Power BI is highly desirable
- Desire to work in a highly-collaborative environment
- Manage / lead multiple data science projects concurrently
8
Responsibilities For Data Scientist Lead Resume
- To own the Financial Services Data Scientist proposition and innovation
- To drive, educate and sell the developments in data science, across the Data Analyst / Data Science community
- To be a lead / key part of the team of Data Scientists exploring and demonstrating how new techniques can be applied to data to drive value across our clients businesses
- To formulate the Data Science business strategy in conjunction with the broader Data Science community
- To lead the broader Data Scientist & Data Analyst community to identify and deliver opportunities to support the FS sector strategic direction
- To support the processes of pilots and proof of concept delivery to prove opportunities and develop business cases to drive opportunities; influencing stakeholders and gaining stakeholder support as required
- Recruit, lead and grow a team of data scientists to design, prototype, implement and test descriptive and predictive analytics models
- Communicate with technical and non-technical audiences and contribute data science expertise as a thought leader
9
Responsibilities For Data Scientist, Lead Resume
- Experience with graph algorithms such as semi-supervised learning on graphs, graph clustering, community detection, interest/topic graphs, and social network analysis
- Knowledge of emerging platforms such as Giraph, Spark/Shark, MLbase and Yarn
- Knowledge of distributed algorithms and stochastic optimization
- Experience with designing and implementing machine learning, data mining, statistics, or graph algorithms in an academic or professional environment
- Develop statistical tests to make data–driven recommendations and decisions
- At least 7-9 of experience, knowledge of applied statistics / econometrics and data mining; with more than 5 analytics, and 3 to 5 year of experience managing people
10
Responsibilities For Data Scientist & Lead Challenge Architect Resume
- Proficiency in analytical tools like SAS and/or SPSS
- Quantitative Social Science or similar discipline
- Extensive knowledge and experience with machine learning, deep learning, anomaly detection, predictive analysis, text analysis, exploratory data analysis, and other areas of data science
- A track record of leading large, complex data projects through collaboration
- Able to take on multiple projects concurrently and manage changes in scope along the way
- Manage train others, set timelines, and hold accountability
- Directs and consults on analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights
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