Manager, Data Science Resume Sample
Winona Muller
780 Terence Ranch,
Phoenix,
AZ
+1 (555) 167 7830
Work Experience
Manager, Data Science
11/2015
-
PRESENT
San Francisco, CA
- Experience sharing insights and recommendations to audiences with varying levels of analytic understanding
- Team player with a
- Work effectively in a highly matrixed environment that is built around a “team of teams’ approach
- Self-professed 'data geek'
- 'Lean forward' bias to find opportunities and drive results
- Interest in advancing knowledge and skill with statistical and database applications (SQL, SAS, etc)
- Contributing to the ongoing and future evolution of the department’s customer analytics capabilities
- Lead and manage the Emirates staff in the data science lab. Ensure close collaboration with the Oxford staff and build a culture that makes the lab a great place to work and maximises productivity
Senior Manager, Data Science
07/2010
-
07/2015
Phoenix, AZ
- Access and leverage the full resource and potential of Oxford University. Network across the Oxford faculties, including mathematics, social sciences, engineering, robotics and computer science, to build relationships and bring new skills, perspectives and experiences into the data science lab
- Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business
- Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary
- Clearly document and communicate the outcomes of the data science initiatives and make sure that the insights and findings can be clearly understood and translated into action
- Be responsible for ensuring all lab activities are in line with industry best practise to enable Emirates to be recognised as a leader in data science. Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization
- Management and/or leadership experience
- Leadership and/or management experience. Learning and growth mindset
- Learning and growth mindset
Manager Data Science
08/2003
-
03/2010
Los Angeles, CA
- Proficiency with Microsoft applications including Access, Excel, Word and Power Point
- Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare
- A track record of independently delivering or leading the delivery of a complex analytics or data science project
- Mentoring, managing, or leading junior analytics or data science staff
- Analyze billions of rows of customer/user level transactions to explore underlying patterns that shed light into customer behavior and strategies for improved customer experience
- Support enterprise efforts to bring in new DS technologies, frameworks and methodologies to scale data science models through distributed computing
- Evolve applications of advanced analytics, machine learning, tools, data sources, talent and partners by incessantly bringing external best practices and trends
- Work effectively with stakeholders to understand ambiguous business problems, assess data needs, develop/maintain best suited models and help/strategize deploying them in production
- Professional work experience as a data scientist, data science manager or experience with advanced analytics projects
Education
Florida State University - Panama City Campus
1998 - 2003
Science's Degree in Computer Science
Professional Skills
- Demonstrated business acumen and communication skills (written & oral), critical thinking ability, strong analytical and problem solving skills
- Very strong verbal and written communication skills as well as excellent presentation skills
- Strong data analysis skills including skills to rapidly learn new data assets
- Strong SQL skills for querying relational databases (e.g.DB2) and extensive experience with statistical analysis tools like SAS and R
- Strong communication and interpersonal skills; ability to work in team environment; experience presenting to stakeholders and senior leadership
- Experience managing both internal and external partner relationships with strong influence management skills
- Expert- level GIS skills (knowledge of GIS model building, leading-edge GIS techniques and experience with global and regional data analysis)
How to write Manager, Data Science Resume
Manager, Data Science role is responsible for analysis, analytical, leadership, research, clear, presentation, business, manufacturing, procurement, database.
To write great resume for manager, data science job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Manager, Data Science Resume
The section contact information is important in your manager, data science 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 Manager, Data Science Resume
The section work experience is an essential part of your manager, data science 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 manager, data science responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular manager, data science position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Manager, Data Science resume experience can include:
- Proven ability to manage the full life-cycle of analytical system development, including: client engagement, analytical framing, timing and effort estimation, project management, and tracking the benefits of the system
- Demonstrate solid writing and presentation skills
- Excellent team-oriented interpersonal skills and strong leadership disposition
- Prior experience in management consulting, investment banking or corporate strategy strongly desired
- Strong analytical/modeling skills with the ability to convert raw data into actionable business insights
- Strong analytical skills and data-driven approach to problem solving
Education on a Manager, Data Science Resume
Make sure to make education a priority on your manager, data science resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your manager, data science 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 Manager, Data Science Resume
When listing skills on your manager, data science 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 manager, data science skills:
- Demonstrated excellent written communication and presentation skills
- Expert level SQL skills with demonstrated experience with large data sets
- Strong coding skills using common data science toolkits, such as SAS, R, Weka, Python, Spark, git, linux/ unix
- Demonstrated experience in managing highly skilled resources of Data Engineers and Data Visualization experts
- Strong MS PowerPoint skills and ability to present to technical, business, and marketing audiences
- Strong skills in Python
List of Typical Experience For a Manager, Data Science Resume
1
Experience For Senior Manager, Data Science Resume
- Execute on projects using solid Project Management skills – plan and manage scope, schedule, cost, quality, risk, resources, procurement and communication
- Strong SAS skills including SAS/STAT, SAS/ETS, & MACRO’s
- Database and Data Analysis technology skills and experience required: Advanced SQL, Advanced Excel, SAS, R/Python
- Effectively influences business partner adoption of insights and solutions; demonstrates knowledge of business problems, requirements and context
- Provide mentoring and guidance to the team members. Identify skill gaps and ensure skill enhancement through training of the team members
- Effectively switch communication styles from business to technical audiences, ranging from in depth analysis to concise, high level messaging
- Effectively communicate the methodologies/results with senior leadership
- Experience and knowledge of Data Visualization concepts and experience with tools such as Tableau
2
Experience For Senior Manager Data Science Resume
- Motivate and mentor other data scientists to grow their skills and careers
- Leverage data analysis skills to research difficult or ambiguous measurement problems and determine how to productize your resulting insights
- Hands on experience in data sciences, statistical modeling, data management, keying and linking, data handling and data wrangling
- Manage issues and conflicts as they arise during the project, understanding technology issues and lead the team in making effective technical decisions
- Experience with R or Python in developing forecasting, machine learning, or optimization models
3
Experience For Manager Data Science Resume
- Experience with large data sets and distributed computing (Presto/Hive/Hadoop/Spark) as well as cloud computing (AWS)
- Experience directing teams of junior data scientists or analysts to mine insights from complicated data and develop a compelling narrative
- Manage a team of data scientists with varying level of experience and assist them with performance coaching and career growth
- Hands-on experience in managing and leading expert data science teams
- Experience developing and applying statistical and operations techniques within a business environment
- Experience with various machine learning methods including classification/tree, SVM and ensemble approaches
4
Experience For Senior Product Manager, Data Science Resume
- Experience using at least one programming language (R, SAS, or Python) for analysis
- Experience using supervised and unsupervised learning methods to derive practical analytic insights
- Work experience in data modeling and machine learning
- Experience with one or more statistical analysis and scripting tools, including R, Python, and AzureML
- Strong background in analytic programming (R, SAS, JMP or other experimental design software)
- Demonstrable experience acting in a consultative role with technical and non-technical stakeholders
- Relevant database processing experience
- Experience in media and/or publishing is ideal
- Diligently prioritize a cross functional group of projects managing an appropriate blend of internal and external resources
5
Experience For Snr Manager Data Science Resume
- Intermediate experience in open source programming languages (R/Python)
- Collaborate with the different stakeholders in ensuring a powerful and effective visual representation of the insights
- Manages team of experienced data scientists taking responsibility for the quality and commercial appeal of their output
- Experience with machine learning
- Experience in open source programming languages for large scale data analysis
6
Experience For Technology Manager Data Science Amazon Web Services AWS Resume
- Experience with machine learning
- Experience in open source programming languages for large scale data analysis
- Relevant experience, including
- Experience with big data computing infrastructure such as Hadoop, Spark, AWS, etc.
- Experience on IBM’s integrated marketing system (Campaign, Interact, Leads, and eMessage)
- Experience with reporting tools (Tableau/Quicksight/R Shiny) and ETL techniques (SQL/database design)
- More than 6 years of industrial/academic experience in supply chain management, inventory management, large scale simulation, and mathematical modeling
7
Experience For Manager Data Science & Statistics Resume
- Experience working with data engineers or business analysts in Big Data analytics
- Hands-on predictive modeling and data visualization experience
- Experience in deploying data science in a business environment
- 5 +years of experience building Statistical Models
- Experience in deep learning
- Builds and maintains effective relationships with internal and external customers
- Ensure operational requirements, standards and best practices are factored into plans to maximize effectiveness in support of SHC strategy
- Employ the appropriate algorithms to discover patterns of both bad and good customer behavior in order to help drive efficiency
8
Experience For Manager Data Science HR Analytics Resume
- Experience with Optimizely for A/B tests on the web and in apps is optimal as well
- Assess the potential usefulness and validity of new statistical approaches and data sources
- Develop rigorous data science models to aggregate inconsistent real-time signals into strong predictors of market trends
- Provide clear directions and priority guidance to the Data Scientists on a day-to-day basis
- Cross-function experience
9
Experience For Associate Manager, Data Science Resume
- Experience in a healthcare related field
- Professional experience in revenue management or pricing strategy
- Proven ability to challenge conventional thinking and traditional ways of operating and to work with stakeholders to identify and improve the status quo
- Machine Learning and Predictive Modeling experience
- Work experience in data analysis, applied statistics or econometrics
- Data Science experience in retail or CPG
- Consistently demonstrates influential leadership and leads by example when handling ambiguous and difficult situations
10
Experience For India Manager, Data Science Engineering, PDS Resume
- Creating and maintaining Sample designs and universe information, reviewing current designs
- Understanding of software development and engineering practices including source control, CI/CD and DevOps
- Compiling and delivering documentation material such as power point slides for methodology questions and/or frequently asked questions
- Understanding of machine-learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc
- Programming languages such as Python (including libraries such as scikit, panda etc), Scala, Java, C/C++
- Working knowledge of enterprise business intelligence tools such as Business Objects and Tableau
- Leading the roll out of new or enhanced services and ensures sustainability of new initiatives
List of Typical Skills For a Manager, Data Science Resume
1
Skills For Senior Manager, Data Science Resume
- Excellent verbal, written, and data presentation skills and ability to communicate in a clear and effective manner
- Solid relational database skills
- Solid skills in a statistical language such as Matlab, R or SAS
- Solid NoSQL skills with specific expertise in MongoDB, CouchDB or Cassandra
- Senior Stakeholder management experience, ability to collaborate effectively with all third party Vendors and internal IT Teams
- Strong communication skills, and the ability to communicate complex data problems and solutions across the company
- Demonstrated modeling experience and application of modeling outcomes, within the consume credit lifecycle
2
Skills For Senior Manager Data Science Resume
- Demonstrated experience in developing and delivering data science solutions
- Exceptional programming skills in R
- Machine learning, NLP, and information retrieval skills
- Demonstrated expertise in one or more industry sectors where GE operates (i.e., Aviation, Oil & Gas, Power & Water, Transportation, Mining, Healthcare)
- A track record of developing the skills and trajectories of talented and motivated people
3
Skills For Manager Data Science Resume
- Demonstrated experience in managing a small team
- Prior experience directly or indirectly leading a team of data
- Strategic consulting experience and/or analytic product management/ownership experience
- Demonstrated experience with ETL development with data integration to support data marts, extracts and reporting
- Passion for data with experience working with large distributed data sets in Hadoop, Spark, MPP databases; SQL experience required
- Hands-on experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark) and experience with NoSQL databases
- Prior work experience within Financial Services Industry
4
Skills For Senior Product Manager, Data Science Resume
- Knowledgeable in software development skills in a JVM hosted language (Java, Scala or Clojure)
- Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques
- Navigate many multi-functional stakeholders, and communicate technical results effectively to non-technical audiences
- Qualitative research and analysis skills (including cognitive interviews, in-depth interviews, focus groups, etc.)
- Experience and knowledge of Data Visualization concepts and at least 5 yrs of experience with tools such as Tableau
- Writing hypotheses and crafting effective experimentation plans
- Experience cleaning, transforming and visualizing large data sets working with various data
5
Skills For Snr Manager Data Science Resume
- Experience with ETL, data mining and processing with multiple datasets using distributed computing
- Ensures projects are managed according to the overall plan managing scope, prioritization and mitigating risk
- Experience leading data science projects including managing contributions of other analysts/data scientists
- Experience managing, hiring and coaching a team of Data Scientists
- Experience using and implementing data visualization tools like Tableau or Qlikview to deliver reports & scorecards
- Data modeling and experience with building data dictionaries
- Experience working across multiple stakeholders while managing various projects simultaneously
- Functional experience in developing and deploying machine
- Good understanding of machine learning techniques and algorithms, such as Decision Trees and Random Forest, Neural Networks etc
6
Skills For Technology Manager Data Science Amazon Web Services AWS Resume
- Experience with machine learning algorithms including relationship graphs and recommendation systems
- Strong background in statistics, machine learning, and big data processing
- Experience in working with streaming data and unstructured data
- Experience on leading analytic technologies – Tableau, Zoomdata, Platfora, Mixpanel, Qlik, etc
- Experience presenting insights at all levels in the organization from C-level to frontline manager
- Specific “big-data” experience on cloud computing platforms with technologies such as Hadoop, Mahout, Pig, Hive and Spark
- Experience in managing Agile projects (SAFe Agile desirable)
7
Skills For Manager Data Science & Statistics Resume
- Experience of managing the transformation from waterfall to Agile delivery within a project
- Hands-on experiences in data science and machine learning
- Experience building technical teams
- Experience working with language-specific or country-specific product launches
- Experience working on global teams highly desired
- Experience developing multi-year business strategies for technical products or services
- Experience in R or Python language and ability to learn new coding languages
8
Skills For Manager Data Science HR Analytics Resume
- Experience with statistical software (e.g., R, MATLAB, pandas) and data base languages (e.g., SQL) as well as machine learning applications and packages
- Experience with scripting languages and object-oriented languages such as Java, R, Python etc
- Experience with machine learning platforms
- Experience with statistical programming languages such as R or SAS
- Experience working on projects related to digital products such as e-commerce or mobile apps
9
Skills For Associate Manager, Data Science Resume
- Highly experienced with delivering projects in an Agile framework
- Experience with machine learning packages such as scikit-learn,
- Experience leading data scientists is required
- Extremely strong statistical analysis
- Strong knowledge of databases and related languages/tools such as Teradata SQL
- Demonstrated expertise in one or more development tools and languages (e.g., R, Python)
- Experience of Data Analytics projects desirable
- Qualifications in Programme / Project Management and / or Agile (e.g. Scrum, SAFe) or equivalent experience
10
Skills For India Manager, Data Science Engineering, PDS Resume
- Engineer and manage elements of our data science platform for creating personalized experience for our consumers across all digital communication touchpoint
- Excellent written and verbal technical communication
- Sound knowledge and practical experience in statistics and data analysis
- Experience with predictive analytic tools like SPSS Modeler or equivalent
- Experience with big data technologies such as MapReduce or Hadoop etc
- Several years of professional experience preferably with data science background
List of Typical Responsibilities For a Manager, Data Science Resume
1
Responsibilities For Senior Manager, Data Science Resume
- Extensive experience effectively mining massive amounts of data and generating business insights for an senior audience
- Experience in statistical analysis or data mining environments such as R, Python, or equivalent
- Experience in experimental design and optimization applied to website and/or application design
- At least three years of experience working on data-intensive analytics solutions
- Demonstrated ability to plan, manage and execute end-to-end advanced analytics and research projects
- Proven ability to apply new technologies such as open source software and cloud, and leverage appropriate analytical tools to predictive modeling
- Model the effects of environmental changes on promotion effectiveness with multiple regression
2
Responsibilities For Senior Manager Data Science Resume
- Coding and developing software of modeling solution using open source software such as Spark, Python, H20, Java and etc
- Understanding of advanced statistical/predictive modeling, computational systems, and operation research and optimization techniques are required
- Work across analytical workflow from data acquisition, exploratory data analysis, feature engineering, modeling, and interactive storytelling
- Establish an industry-leading vision for marketing performance measurement and planning products
- Knowledge of survey or similar research operations including questionnaire design, cognitive interviews, sampling, and survey administration
3
Responsibilities For Manager Data Science Resume
- Productize analyses using different platforms like Tableau, custom apps, or other tools in the aim of advancing the self-service analytics function
- Manage multiple mid-size and high visibility projects involving engineering, data science and business teams
- Engage senior leadership during decision making process, when appropriate
- Build predictive models with modern advanced machine learning techniques; interpret and present modeling and analytical results to non-technical audience
- Influences senior management decision making on crucial decisions facing the company
- Develop innovative new features and methodologies to describe advertising's impact on purchasing patterns
- Channel the power of Amazon’s unique eco-system into analytics and planning tools that unlock the impact of advertising on our client's business growth
- Basic knowledge of data warehousing and data governance
- Don’t forget the team goal to deliver pipeline and marketing influenced revenue!
4
Responsibilities For Senior Product Manager, Data Science Resume
- Lead by influence a large group of people from different parts of the business, including other BUs
- Build and develop a a team of data scientists on techniques, implementation methodology, and driving impact
- Supports commercial teams in providing technical consultation to solve Data Science-related issues
- Other factors indicating size/complexity of role
- Lead a cross-team initiative to capture rich meta-data on our advertising campaigns to increase insight and system performance
- Continually focuses on succession planning and talent development for sustainability within the organization
5
Responsibilities For Snr Manager Data Science Resume
- Manage a team of data scientists to provided leading-edge solutions to big data challenges
- Evaluate alternative data sources and the tools for big data modeling
- Work with HBO’s data governance team to assure reference data and cross platform data are aligned to meet data analysis needs
- Monitor the health and performance of DCPI’s franchise portfolio
- Collaborate with others to own the team’s social media presence across different channels
6
Responsibilities For Technology Manager Data Science Amazon Web Services AWS Resume
- Mastery of statistical software, scripting languages, and packages (e.g. R, Matlab, SAS, Python, Pearl, Scikit-learn, Caffe, SAP Predictive Analytics, KXEN, etc.)
- Estimate research & development costs for project budgets
- Stay abreast of procedural and technological developments in survey and measurement research methodology and changing technologies in the marketplace. Proactively identify applications of these latest developments to improve existing methods
- Design sound methodologies within cost and operational constraints. Understanding of measurement error in data collection methods with ability to mitigate using cost effective procedures
- Facilitate the design, implementation and enhancement of analytic solutions aimed at optimizing consumer engagement within and across HBO’s digital platforms (including HBO NOW, HBO GO and HBO.com)
- Utilizing your algorithmic/programming toolkit, build predictive models to improve profitability, growth, retention and other such key performance indicators for our clients
- More specifically, apply algorithms equal or similar to the following: elastic net regularization for regression, random forests, generalized boosted models, generalized additive models, support vector machines, neural networks, and time-series forecasting
7
Responsibilities For Manager Data Science & Statistics Resume
- Implement formal modeling processes from end to end including data gathering, data profiling, numerical model building, calibration, cross-validation, putting product into production, etc
- Explain complex modeling approaches in layman’s terms and discuss modeling results and business case impacts with non-technical business users
- After building the models, pilot “scorecards” to track model performance and calculated improvement to business
- Experience working in a data science, advanced analytics, or data research & insights group in a technology-driven company (media experience highly valued, but not mandatory)
- Proficient with data analytics and visualization tools such as Python, R, Tableau and Looker
8
Responsibilities For Manager Data Science HR Analytics Resume
- Manages the execution of research projects and assists with communicating findings to appropriate audiences and clients; schedules and monitors research activities
- Provide leadership in the data science discipline in order drive advanced algorithms, analytic models, data mining techniques and statistical inference in support of opportunity identification and insight generation
- Articulate complex models and solutions in simplistic terms in order to drive understanding and acceptance of analytical outputs
- Mentor team members across a variety of teams on technical best practices and outcome oriented actions as it related to Data Science
- Proactively work with customer teams to identify gaps in analytical techniques and business intelligence solutions and work to resolve them
- Lead design discussions and decisions as it relates to Data Science solutions and drive decisions through to completion
- Researching, prototyping, and testing new causal and non-causal inference methodology for measuring campaign effectiveness and building predictive algorithms to maximize ad delivery efficiency, For example,
9
Responsibilities For Associate Manager, Data Science Resume
- Apply domain knowledge and business judgment to identify opportunities to optimize Amazon’s supply chain and quantify impact. Develop strategies and/or models for new experiments or improvements to existing algorithms
- Support Implementation:Closely work with product, engineering and client teams to incorporate Data Science capabilities into Neustar’s products and services
- General curiosity, a willingness to experiment, pragmatism and the ability to handle ambiguity
- Understand complex consumer behavior and businesses concepts
- Work independently and manage a small team of direct reports
- Expert ability to identify appropriate statistical procedures to address specific business or data insight challenges
10
Responsibilities For India Manager, Data Science Engineering, PDS Resume
- Expert proficiency in statistical analysis software such as SAS, Stata, SPSS, or equivalent
- Develops and implements Analytics Services Roadmap for operational and strategic decision-making needs of Sears Holding Company and its subsidiaries, ensuring capabilities are responsive to the needs of the company's current and future growth and business objectives
- Leads selected key projects / activities across matrix IAI organization and provide management bandwidth within the Organization
- Collaborates with IAI & I&TG to provide guidance to business to ensure consistent, reliable system availability, secure and efficient processing approaches and flexibility to meet changing business needs
- Aligns project resources with project priorities and discuss alternative resourcing and project impact of any changes with line manage
- Work closely with Chief Medical Informatics Officer (CMIO) and business stakeholders to drive predictive modeling and advanced analytics projects
- Cultivates a network of resources across SHC and outside of SHC throughout the industry
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