Director, Data Science Resume Sample

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Work Experience


Director, Data Science
10/2016 - PRESENT
Detroit, MI
  • Experience sharing insights and recommendations to audiences with varying levels of analytic understanding
  • Lead data science teams and choreograph delivery
  • Team player with a
  • Identify, promote and lead process improvements including streamlining, automating, and standardizing data processes. Research best practices and propose innovations designed to enhance Risk Management’s ability to increase profitability and enhance customer experience. Build frameworks to test data used for risk models simultaneously
  • Partner with internal and external clients to identify business opportunities and develop robust advanced analytics solutions (e.g., predictive models, LTV, propensity models)
  • Lead large scale projects that utilize online & offline data, structured & unstructured data, set- top box data (media/behavioral/attitudinal) to build customer centric models and optimization tools
  • Partner with marketing, finance and field ops teams in developing & executing real-time targeting & optimization platforms
Senior Director, Data Science
03/2013 - 08/2016
Detroit, MI
  • Strong analytical and data manipulation skills, including strong programming experience
  • Expert knowledge of personal lines insurance business and the pricing of related insurance products
  • Lead projects effectively, including direct or indirect management of staff
  • Builds effective relationships with business partners
  • Contributes creative ideas
  • Develops talent and able to influence others
  • 'Lean forward' bias to find opportunities and drive results
  • Advanced subject matter expertise in data modeling
Senior Director Data Science
03/2008 - 12/2012
Philadelphia, PA
  • Advanced negotiating, influencing, and conflict resolution skills at all organizational levels
  • Drive and commitment to what is necessary to get the job done efficiently, thoroughly, and professionally
  • Innovative. Seeks new and creative ways to approach analytical exercises and development projects
  • Results-oriented. Demonstrates a sense of urgency and accountability for business issues
  • Customer focused. Builds effective relationships with internal partners, including claims, actuarial, underwriting, operations, and information technology
  • Perform hands-on analysis of large volumes of web analytics, transaction, customer data, second and third party data. Work with complex data structure, manipulate, cleanse data and perform statistical analysis
  • Educate clients and fellow team members about implications of customer Insights
  • Serve as an evangelist for data-driven decision making, accountability, and a commitment to continuous optimization

Education


North American University
2004 - 2008
Science's Degree in Computer Science

Professional Skills


  • Outstanding verbal and written communication skills and presentation skills with a sharp ability to simplify complex concepts and convey actionable solutions
  • Strong project management skills and deep experience managing projects, budgets, and schedules to successful completion
  • Proven experience building, leading, and inspiring a high-performing team of predictive modelers. Operate as a thought leader and people leader
  • Proven experience building, leading a high-performing team of predictive modelers. Operate as a thought leader and people leader
  • Strong influencing and partnership skills with ability to balance responsiveness to diverse requests from many stakeholders
  • Expert-level skills and experience with R (required) and/or Python (desired) (including relevant packages) in support of advanced analytics
  • Excellent written & verbal communication skills for coordinating across teams

How to write Director, Data Science Resume

Director, Data Science role is responsible for modeling, business, collaboration, programming, advanced, presentation, python, audience, influencing, analysis.
To write great resume for director, data science job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Director, Data Science Resume

The section contact information is important in your director, 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
  • Email
  • Telephone number

Work Experience in Your Director, Data Science Resume

The section work experience is an essential part of your director, 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 director, 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 director, data science position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Director, Data Science resume experience can include:

  • Demonstrate expert level skills in collaboration with different stakeholders, while influencing decisions and taking strategic views on issues
  • Strong relationship building mindset and skills
  • Self-starter that has superb communication skills and experience working in fast paced environments
  • Strong data munging and software engineering skills (Spark, SQL/NoSQL, etc.)
  • Experience in overseeing rapid prototyping of big data applications.Deep understanding of and experience using machine learning and statistical techniques
  • Adept at juggling many competing priorities and prioritizing for best results

Education on a Director, Data Science Resume

Make sure to make education a priority on your director, 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 director, 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 Director, Data Science Resume

When listing skills on your director, 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 director, data science skills:

  • Strong consultative skills to establish relationships across the broader organization and align with Visa’s strategy and vision
  • Strong interpersonal skills-an outstanding ability build relationships, influence and navigate within a complex organization
  • Strong communication and data presentation skills; ability to communicate with data-driven stories
  • SQL skills, ability to perform effective querying involving multiple tables and subqueries
  • Strong synthesis and presentation skills
  • Experience working in a fast paced Analytics environment, with evidence of delivering significant incremental value to organisations leveraging data

List of Typical Experience For a Director, Data Science Resume

1

Experience For Senior Director, Data Science Resume

  • Excellent organizational, motivational and interpersonal skills, capable of interfacing well at multiple levels within a large organization
  • Strong communication skills, inclusive of executive level team members, with the ability to explain complex concepts to a diverse audience
  • Understand business goals and initiatives, and combine business modeling skills with outstanding data analysis
  • Experience turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through product development
  • Excellent oral and written communication and experience in developing data centered communications with senior clients
  • Develop tools used by others to do their jobs more effectively and guide decision making
  • Demonstrates a strong commitment to organizational success; shares resources and leverages knowledge across the organization
  • Apply economic, quantitative, and statistical skills in the development of models to drive profitable growth and make sound business decisions
2

Experience For Director Data Science Resume

  • Apply new computing technologies and niches with cutting-edge machine learning or statistical modeling techniques for personalized digital customer experiences
  • Knowledge & experience in statistical & data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc
  • Experience designing, building and managing large scale ML and analytics platforms in AWS, GCP or Azure
  • Experience working with cross-functional project teams and managing communications including in-person or virtual meetings is required
  • Deep experience in machine learning with Spark and Azure Machine Learning and Cognitive Services
  • Experience implementing and automating models
  • Demonstrated ability of working and excelling in high pressure environments with minimal supervision
  • Opportunity to supervise less experienced analysts in programming and standardizing processes
3

Experience For Senior Director Data Science Resume

  • Production experience implementing Predictive, Lookalike and Clustering models for Customer Response, Acquisition, Retention and Upsell
  • Extensive experience wrangling/cleaning data
  • Experience working with massive datasets and parallel processing optimization for data preparation, manipulation, analytics and advanced analytics
  • Experience working with the latest advanced analytics and deep learning libraries and tools (e.g, Tensorflow, PyTorch)
  • Deep experience in application of machine learning, deep learning and analytic techniques in a media or entertainment company within a big-data environment
  • Demonstrated success executing and managing complex data science initiatives
  • Strong working knowledge of databases, data warehouses and manipulating Big Data
  • Have solid understanding of mathematical modeling
  • Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large data sets, at scale
4

Experience For Practice Director, Data Science Resume

  • Experience with distributed computing, such as Hadoop, Spark, or an MPP environment
  • Experience working with financial and product executives
  • Deliver strong written and verbal communications to collaborate with and influence business partners in driving high-value strategic decisions
  • Experience in interpreting results of statistical analysis
  • Experience in building scalable data models and applications
  • Lead the design and development of machine learning/statistical models and ensure rigorous validation procedures and best performance
  • Build strong working relationships and develop deep partnership with the business
  • Work closely with program managers to measure digital media effectiveness through digital attribution data monitoring
  • Experience leading teams on complex, quantitative-based, production-grade software development
5

Experience For Director, Data Science Junior Resume

  • Experience in open source programming languages for large scale data analysis
  • Experience with machine learning
  • Experience in application architecture with java-based solutions, including batch and real-time API
  • Experience leading solution & technical design of advanced analytic solutions
  • Experience in modeling identity fraud
  • Machine Learning development experience
  • Experience in managing development teams in a cross-functional environment
  • Experience in client-facing roles - ability to interact with technical and non-technical audiences
6

Experience For Assistant Director, Data Science Resume

  • Demonstrated capability of successfully managing multiple projects simultaneously
  • Experience with Machine Learning toolkits, e.g., TensorFlow, scikit-learn
  • Five (5) years of experience in the digital and/or marketing field
  • Previous experience leading large analytics teams
  • Strong background in analytic programming (R, SparkR, Python, SAS) and data manipulation (SQL) in a big-data environment
  • Demonstrable experience leading a data science team in a healthcare, or big-data driven consumer-product company
7

Experience For Director, Data Science, Customer Advocacy Resume

  • Strong learning and growth mindset
  • Healthcare industry experience with working knowledge of common data structures and terminology
  • Experience using ML tools such as Python, R, TensorFlow, Keras, or Spark
  • Experience with cloud computing tools such as AWS, Azure, or Google BigQuery
  • Experience leading teams and hands on people management in a matrixed organization
  • Experience in solving business problems
  • Experience leveraging tools like R, PHP, Python, Hadoop & SQL to drive efficient analytics
8

Experience For Director, Data Science Integration Resume

  • Experience managing people or teams
  • Manage an effective R&D and innovation pipeline leveraging customer insights, disparate data sources, and advanced analytical techniques
  • Experience in a role with emphasis on data analysis and metrics development
  • Programming experience in an industry environment
  • Experience with version control systems (Github, Subversion) and deployment tools (e.g. continuous integration) required
  • Highly experienced with Hadoop/MapReduce/Hive/Pig
  • Highly experienced with business intelligence tools (MicroStrategy, Tableau)
  • Strong technical knowledge of data and data concepts
  • Execution- able to prioritize, meet deadlines, results orientated
9

Experience For Senior Manager / Director Data Science Resume

  • Manage prioritization of work and ensure optimal resource alignment
  • Analyzing and evaluating model results, providing ongoing monitoring and improvements
  • Providing input to the Product Management and Technology teams who are building out the roadmap for our technical capabilities in building and deploying models
  • Defining strategies and parameters for predictive models and data mining projects, ensuring data integrity and usability
  • Understanding of design practices including OLTP, reporting, and OLAP; ETL and MDM data management tools
  • Developing machine learning devices to continuously re-integrate data for robust decision-making
10

Experience For Associate Director, Data Science Resume

  • Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis
  • Constructing and presenting research ideas, prototypes and proofs of concepts
  • Staying abreast of new developments in machine learning in order to investigate and develop new "challenger" approaches to compete against current "champions"
  • Helping craft the long-term data strategy for the organization and advocating for the intelligent use of data throughout the business
  • Integrating with external data sources and APIs to discover interesting trends
  • Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow
  • Being the go to subject expert for new data. and AI and machine learning tools
  • Leveraging data science to evaluate the incremental value of alternative data sources and making recommendation to Visa

List of Typical Skills For a Director, Data Science Resume

1

Skills For Senior Director, Data Science Resume

  • Strong technical skills in Object-Oriented Programming along with expert-level experience with Python SciPy stack and/or R
  • Strong coding skills in python or R (or similar: scala, julia) and knowledge of functional programming
  • Prior experience in data quality control, data validation, data cleansing, data pipeline and data analytics
  • Highly advanced SQL skills and experience with both relational and non-relational databases
  • Strong verbal and written communication skills, and the ability to summarize technically complex information for a non-technical audience
  • Strong collaboration and elaboration skills
  • Strong project management experience with ability to manage multiple analytics modeling engagements and priorities at the same time
  • Strong collaboration skills, clear team player, enthusiastic, can-do attitude
  • Demonstrated experience setting and executing an analytic strategy
2

Skills For Director Data Science Resume

  • Advanced-level skills with relational databases, including SQL and utilizing data stored in complex schemas
  • Broad experience and solid theoretical foundation on the modeling process using a variety of algorithms
  • Experience in an advanced analytics or consulting role or similar experience in academia
  • Functional team management and leadership experience: experience managing senior-level client-focused, business-critical resources
  • Relevant data science work experience and 8+ hands-on technical management experience (leading both data scientists and managers)
3

Skills For Senior Director Data Science Resume

  • Strong expertise in data pull and manipulation in database systems (Oracle, Hadoop, etc.). Solid understanding of data model and data governance
  • Proven experience in predictive & prescriptive analytics, segmentation, experimental design and related areas
  • Have undeniable people leadership and relationship building skills
  • Exceptional programming skills in R, Python (pandas, scikit-learn, statsmodels, IPython, matplotlib)
  • Experience leading data science teams (career growth and positive employee experience)
  • Demonstrated experience consulting with executive management on analytic solutions
  • Proficient programming skills in a high-level language (e.g., Python, R, Scalia, C/C++, Perl, Matlab, Java)
  • Superior analytical skills. Ability to perform insightful and actionable quantitative and qualitative analysis of the business
4

Skills For Practice Director, Data Science Resume

  • Experience of formal or informal (acting as a team lead or leading projects) leadership experience
  • Strong communication with experience in working with senior management and cross functional teams is required
  • Interact and collaborate effectively with senior executives in the extended global GroupM and WPP family
  • Expert-level logical and analytic skills
  • Demonstrated ability and desire to continually expand skill set, and learn from and teach others
5

Skills For Director, Data Science Junior Resume

  • Effectively coordinate communications between/among cross-functional teams and resolve conflict
  • Strong experience in at least one programming language (i.e. C#, Python, R)
  • Demonstrated business acumen related to risk management and or fraud data experience
  • Strong experience in at least one database technology (i.e. Graph Database like OrionDB, SQL Server, Redshift, etc.)
  • Choosing best fit methods, defining algorithms, validating and deploying models to achieve business results
  • Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
  • Experience with data mining, machine learning, statistical modeling tools, underlying algorithms, relational databases and SQL
  • Experience with data mining, machine learning, statistical modeling tools, and underlying algorithms
  • Extensive experience solving analytical problems using quantitative approaches using machine learning methods
6

Skills For Assistant Director, Data Science Resume

  • Strong understanding of machine learning, natural language processing, statistics, and modeling techniques
  • Experience leading teams building and delivering advanced analytics projects including predictive models
  • Experience applying Machine Learning techniques and using platforms such as TensorFlow, Azure
  • Experience developing models, monitoring them in production, and measuring their business impact
  • Experience of partnering with technology or data engineering team for pushing models into production
  • Experience building machine learning models in h2o, R, Python, TensorFlow
7

Skills For Director, Data Science, Customer Advocacy Resume

  • Build and maintain strong working relationships with the Pricing, Distribution, Operations and IT partners to ensure delivery of initiatives within the area
  • Experience leading a modeling team in fast-paced environment
  • Hands-on experience with machine learning, predictive modeling and statistical analysis techniques in a business environment
  • Use modeling to increase & optimize constituent experiences, traffic generation, ad targeting & other business outcomes
  • Experience integrating analytic models within business applications for real-time scoring
8

Skills For Director, Data Science Integration Resume

  • Directing a team, setting priorities and plans to meet business goals and objectives
  • Experience working with large data sets and distributed computing tools such as Hadoop, Spark, H2O, etc
  • Experience managing Big Data projects using Hadoop / Spark
  • Computation and programming experience with Python, R, or SAS, SQL, Natural Language Processing and Support vector machines
  • Strong foundation in either Python or R, with working knowledge of the following libraries/modules
  • Experience applying machine learning methodologies in research or business environments
  • Total work experience, with at least 3 years conducting ad hoc/exploratory business analyses using statistical tools
9

Skills For Senior Manager / Director Data Science Resume

  • Experience manipulating data sets & building statistical models
  • Experience developing or enhancing prototypes for solutions to IT analytics problems like
  • Experience implementing solutions with one or more key technology platforms including
  • 7+year’s experience managing a high performing team
  • Proven ability to develop Machine Learning models and pipelines using Python and Spark
  • Research experience and coursework in Machine Learning and Natural Language Processing
  • Demonstrated expertise in using data to drive business goals through improved decision making and algorithms
  • Plan and lead the execution of the analytics life-cycle, leveraging significant experience in leading this type of work in previous roles
  • Expert knowledge of data modeling techniques and high-volume ETL/ELT design. Direct experience with modeling software (e.g. PowerDesigner, ERwin) required
10

Skills For Associate Director, Data Science Resume

  • Experience consulting on the use of applied predictive models and/or business intelligence
  • Relevant experience in large scale operations environments (Claim Centers, Call Centers, Manufacturing)
  • Experience with advanced techniques and emerging approaches to data and decision science
  • Experience working with source code management tools (e.g., git)
  • Experience analyzing digital customer footprint data

List of Typical Responsibilities For a Director, Data Science Resume

1

Responsibilities For Senior Director, Data Science Resume

  • Play the role as the primary owner of the data science solutions to support company’s credit risk management initiatives as well as strategic data needs in other areas
  • Comprehensive and proven problem-solving skills
  • Strong communication skills and the ability to explain complex analysis and algorithms to nontechnical audience
  • Strong operational, client engagement and delivery skills
  • Experience with data architecture and data analytics with 3+ years’ of experience in the credit or financial services areas
  • Work experience in Data Science, Predictive, and Advanced Analytics with a proven track record to drive business impacts
  • Works effectively cross functional teams to build trusted partnership
  • Model data management for validation (e.g. holdout, cross-validation)
2

Responsibilities For Director Data Science Resume

  • Strong machine learning, deep learning, and statistical modeling expertise, such as SVM, random forests, boosting, clustering, NLP, neural networks
  • Experience leading machine learning, statistical modeling & data mining teams
  • Demonstrated hand-on modeling and analytics expertise using tools like SAS, Enterprise Miner, R, Python, SQL, and Scala
  • Practical experiences in building and shipping ML models at scale in the context of (two-sided) marketplaces
  • Develop customer churn and LTV predictions in order to improve customer engagement and effectiveness of marketing activities
  • Project-delivery experience with some standard machine learning platforms (e.g., Scikit-learn, tensorflow, pytorch, Caffee, )
3

Responsibilities For Senior Director Data Science Resume

  • Work experience in a quantitative business environment
  • Experience in two or more database technologies: MS SQL, Redshift, Oracle DBs, MySQL, SQL, PL/SQL, UNIX shell
  • Develop real-time personalization and recommendation engine to improve customer experience
  • Advanced knowledge of SQL and experience with big data platform (AWS, Spark, Hadoop)
  • Experience in the insurance industry (life, health or P&C) or in data-based marketing areas
  • Strong expertise in design of experiments and its applications in business setting
  • Experience of managing a data science team
4

Responsibilities For Practice Director, Data Science Resume

  • Build strong relationships across GroupM leadership and as well as counterparts in other WPP agencies to best deliver the best of GroupM and WPP
  • Build strong relationships with key technology providers such as Adobe and Oracle
  • Team player with a strong desire to collaborate and contribute
  • Responsible for interpretation of results – for both causal inferences and predictive effectiveness
  • Work with internal partners to define requirements, guide product and architectural vision, and prioritize efforts
  • Data science experience
  • Experience with big data technologies: Hadoop, Hive, HBase Spark etc
  • Experience of fraud and risk is desired
5

Responsibilities For Director, Data Science Junior Resume

  • Highly experienced with Big Data Fabric tools like Talend/Informatica
  • Experience with version control systems (Github, Subversion) and deployment & CI tools (Jenkins) required
  • Direct the consolidation of health information to support medical expenditure and utilization analyses and evaluate new tools/models to support business
  • Experience with SQL
  • Experience with relational databases
  • Applied work experience in Analytics, Data Science, and or BI
  • Experience in technology
6

Responsibilities For Assistant Director, Data Science Resume

  • Experience in analytically based products
  • Experience in financial services, preferably in payments / card networks or with an issuer, is highly desirable
  • Assess the effectiveness & accuracy of new data sources & data gathering techniques
  • Related experience in other industries
  • Relevant experience in Research Function in Insurance or Financial Services or related field
7

Responsibilities For Director, Data Science, Customer Advocacy Resume

  • Three (3) years of Director level experience
  • Strong knowledge of data structures, systems, and BI tools related to big data
  • Experience in communicating data science solutions to business stakeholders or non-data scientists
  • Experience/Knowledge on graph/semantic systems
  • Leadership or management experience
  • Relevant work experience in analytics with expertise in digital media
  • Experience in the telecommunications industry, or two other consumer-based industries
  • Experience with Hadoop, particularly HIVE and Spark
8

Responsibilities For Director, Data Science Integration Resume

  • Formal management experience within research environments
  • Strong ability to collaborate with cross-functional teams, working with internal business clients
  • Experience with integration of offline data and analysis into real-time, real world applications and services
  • Conducting ad hoc analysis, building models, forecasting viewing behavior
  • Driving execution from start to finish of strategic deep learning projects at all levels
  • Researching and implementing algorithms and data-structures for our platform
  • Working knowledge in at least one high level programming language (eg. Java)
  • Working knowledge on Hadoop-related technologies, MapReduce, Spark, Hive, Impala,etc.
  • Working knowledge of traditional data storage, relational databases, SQL, and ETL tools
9

Responsibilities For Senior Manager / Director Data Science Resume

  • Evolve Pricing Intelligence function by utilizing, creating, and designing systems and processes that proactively support Salesforce's rapid growth
  • In positions applying machine learning, natural language processing, and analytics to business critical decision processes
  • Create a roadmap for using data as an essential part of the payments product, from credit risk modeling to routing optimization
  • Build forecasting models to improve budgeting and business planning
  • Mentor individual contributors about solving analytical problems using quantitative approaches based on machine learning methods
10

Responsibilities For Associate Director, Data Science Resume

  • Progressively responsible roles in Digital Marketing, Consulting Services, Advertising, and/or Analytics
  • Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data
  • Design, develop and deploy data-driven ML solutions that solve business problems using the most appropriate engineering architecture
  • Own the ingestion and scoring process from data receipt through storage, deployment and mapping
  • Serve as a sparring partner for senior leaders to inform usage of predictive methods/tools for enhancing business units’ needs
  • Act as both a data science leader and a business leader, contributing and leading key strategic initiatives for Payments
  • Passion for working with data at scale and empowering organizations through data

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