Data & Applied Scientist Resume Sample
Janet Ondricka
26824 Dickens Locks,
Boston,
MA
+1 (555) 259 0391
Work Experience
Senior Data & Applied Scientist
09/2015
-
PRESENT
Los Angeles, CA
- User/query intent understanding, document/ad understanding, user targeting
- Relevance modeling, IR-based ad retrieval
- Marketplace mechanism design and optimization, and whole-page experience optimization
- Innovative new ads products
- Network protection, fraud detection, traffic quality measurement
- Advertising metrics and measurement, including relevance and ad campaign effectiveness
- Ad campaign planning and optimization
Data & Applied Scientist
06/2010
-
03/2015
San Francisco, CA
- Experimentation infrastructure including tools for configuring and launching experiments, dashboard, live marketplace monitoring, and diagnosis
- Perform ad-hoc exploratory and explanatory analysis
- MS or PHD in machine learning, computer science, mathematics, statistics or equivalent technical or analytical field
- Software engineering skills shipping products or services for more than 7+ years using one or more high level languages (C#, C++, Java, F#), data manipulation (SQL), one or more scripting languages (Python, Perl), and common ML and analysis tools (R, SAS, SPSS, Mat Lab)
- Multiple years of relevant experience shipping machine learning or predictive analytics applications/models at massive scale
- Strong architecture, design and quality skills accompanied by a passion to lead by example behaviors
- Help our efforts to improve the way we gather and prepare data for analysis to help make critical business decisions and the KPI’s that matter most across a diversity of problem domains
- Experience using data to impact critical product or business decisions
- Architect and develop systems that can run these models at scale
Xbox Data & Applied Scientist
10/2005
-
01/2010
New York, NY
- Ingest, transform, and manipulate massive datasets in Cosmos or Hadoop or equivalent
- Software engineering skill in one or more high level languages (C#, C++, Java, F#), data manipulation (SQL, Cosmos, Hadoop), one or more scripting languages (Python, Perl), and common ML and analysis tools (R, SAS, SPSS, MatLab)
- Multiple years of relevant experience shipping machine learning or predictive analytics models at massive scale
- Exceptional written and verbal communication and presentation skill
- Understand and be up to date on available data sources and business intelligence solutions
- Work with partner teams to drive action and impact
- Communicate insights to senior leadership around the business, and address critical business problems
Education
Furman University
1999 - 2004
Science's Degree in Computer Science
Professional Skills
- Effective communication skills, both verbal and written, and excellent teamwork skills
- Experience in applying deep learning models Strong skills in at least 3 languages such as Python, R, SQL, Java and Scala
- Strong communication and collaborative skills, an excellent team worker
- Strong software design and development skills/experience
- Excellent technical design, problem solving and debugging skills across a wide range of integrated platforms
- Strong problem-solving skills: ability to dive into details and drive resolution of issues
- Excellent analytical and communication skills and ability to influence stakeholders including senior leadership
How to write Data & Applied Scientist Resume
Data & Applied Scientist role is responsible for languages, software, analysis, sql, development, power, advanced, design, coding, java.
To write great resume for data & applied scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data & Applied Scientist Resume
The section contact information is important in your data & applied scientist 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 & Applied Scientist Resume
The section work experience is an essential part of your data & applied scientist 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 & applied scientist 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 & applied scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data & Applied Scientist resume experience can include:
- Demonstrated ability to work across organizational boundaries, combined with strong skills at influencing stakeholders
- Strong project management and excellent organizational skills
- Some programming skills and experience required (C#, Java, Python or similar)
- Solid analytical problem-solving skills; able to distill a problem down to its solvable parts and work a way through to a solution
- Strong coding and development skills
- Experience with programming skills, e.g. Java, C#
Education on a Data & Applied Scientist Resume
Make sure to make education a priority on your data & applied scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data & applied scientist 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 & Applied Scientist Resume
When listing skills on your data & applied scientist 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 & applied scientist skills:
- Demonstrated stakeholder management ability including effective prioritization, clear concise communication, and delivery of actionable data driven insights
- Experience working with customers and business planning teams, with a strong customer satisfaction track record in a customer facing role
- Strong experience in writing SQL queries and managing data infrastructure and processing
- High attention to detail, including meticulous forensic analysis skills Self-discipline and a drive for results
- High attention to detail, including meticulous forensic analysis skills. Self-discipline and a drive for results
- Experience in gathering requirements, streamlining, designing, developing and maintaining automated BI pipeline
List of Typical Experience For a Data & Applied Scientist Resume
1
Experience For Senior Data & Applied Scientist Resume
- Experience designing and delivering robust, extensible data models and database designs across a wide variety of data sources and structures, including big data systems and platforms
- Demonstrate strong communication and presentation skills, and the ability to work across teams, executives and subject matter experts to drive results
- Strong skills in Python, R and SQL
- Demonstrated experience in all phases of managing data science engagements including: problem definition, solution formulation and delivering measurable impact
- Commitment to ongoing learning, and a focus on improving your skills over time
- Software design and development experience with C++/C#/Java/Python Knowledge and experience with machine learning and information retrieval technologies
- Collaborate and effectively communicate with stakeholders to gain alignment on requirements, deliverables and process
- Prior customer service and support experience
- Communicate effectively and be inclusive to partners that come from non-technology/non-scientific backgrounds as they reach experimentation scale
2
Experience For Principal Data & Applied Scientist Resume
- Experience in analysis or finance supporting sales or marketing, marketing technology management, or marketing business management
- Demonstrate business impact by improving (reducing) cycle time and variability of deployment through use of predictive analytics and data modeling
- Experience in data science OR a software engineering/programming role employing data scientific methodologies
- Experiences with Machine Learning, Semantic Web, Knowledge and Data Engineering, or Natural Language Processing
- Experiences with designing and building efficient and scalable solutions for big data, especially on data quality and cleaning
- Experience doing data analysis, leading process improvement and/or implementing automation systems
- Experience in Natural Language Understanding, Machine Learning, or Data Mining
- Experiences in large scale data mining and cloud computing. Familiarity with MapReduce framework and parallel/distributed processing such as Hadoop/Spark/Scope
- Experience in analysis roles for marketing, marketing technology management, or marketing business management
3
Experience For Data & Applied Scientist Mgr Resume
- Solid understanding of BI and data solutions, including Excel pivots, cubes, data warehouses, and SQL datamarts
- Experience translating business and product questions into analytics and reporting deliverables
- Experience with Microsoft SQL and other relational databases In-depth understanding of sophisticated threat modelling
- Industry experience in developing and delivering predictive models
- Extensive knowledge and experience in areas like data mining, machine learning, statistical analysis, information retrieval
- Technical experience developing machine learning models and data platforms
- Knowledge and experience working within cloud computing environments such as Azure or AWS
4
Experience For Xbox Data & Applied Scientist Resume
- Experience in applying deep learning models
- Experiences with Machine Learning beyond regularized logistic regression, non-linear SVMS, and Natural Language Processing
- Experience in general purpose programming languages like C#, C++, JAVA to ship customer facing features
- Experience in machine learning using frameworks such as sci-kit learn, CNTK, Tensor Flow or Theano
- Solid understanding of statistical inference techniques and ability to work with Machine Learning Models
- Experience in design of experiments (DoE), applying scientific method to business problems, and hypothesis testing
- Experience in at least one scripting/languages, (e.g. C#, Java, Python, PowerShell, or Perl)
- Experience building data pipelines to operationalize end-to-end solutions
- Experience with NLP and the handling of unstructured text
5
Experience For Modeling Data Applied Scientist Resume
- Ph.D. in Predictive Analytics, Statistics, Math, Engineering, Operations Research, Computer Science with 3+ years of Industry experience
- Experience in data transformation with SQL, statistical programming languages
- Experience delivering enterprise data analytics pipelines
- Experience working with languages, e.g. Python, R
- Need to be able to formulate complex SQL queries and have experience working with BI and visualization tools
- Proven multi-year track record of shipping large scale services in a fast-paced environment
6
Experience For Data Applied Scientist Resume
- Experience leveraging Azure services and technologies
- Experience pulling from ODATA connections
- Data science experience in 2 or more analytic languages including Python, R, C++, C#
- Experienced in writing scalable, distributed and highly efficient components
- Experience shipping and support web services
7
Experience For Data & Applied Scientist Resume
- Experience with data analysis and statistical tools including Python or R
- Education or industry experience in statistics, data analysis or machine learning
- Experience on tools and systems for working with big data such as Azure, Cosmos, Hadoop, Spark
- Tware engineering experience in C/C++/Python
- Experience with machine learning algorithms
8
Experience For Senior Data & Applied Scientist Resume
- Experience with a general-purpose programming language (C, C#,python)
- Strong programming knowledge (proficient in SQL)
- Professional experience in applications of Machine Learning and/or Data Science and analysis
- Experience with distributed Big Data Analytics using one of: Apache Spark, Hadoop, Azure Data Lake or COSMOS
- Demonstrated expertise in research designs for causal inference, applied microeconometrics and/or Time-Series modeling
9
Experience For Principal Data & Applied Scientist Resume
- Experience managing teams (FTE)
- Experience in highly available, distributed systems of data extraction, ingestion, and processing for large data sets
- Experience with large-scale data warehousing and analytics projects
- Experience in a data scientist role or equivalent academic background
- Proven track record of developing targeted, simple, scalable and sustainable reports and dashboards utilizing standards based practices
- Strong ability to define the "why" when choosing targeted KPI’s, algorithms for ML models and data storage solutions
10
Experience For Data & Applied Scientist Mgr Resume
- Establish and govern Data Polices and roadmap, including strategic business capabilities, and priorities alignment
- Experience with open source tools like CNTK, Tensor flow, MxNet, Caffee and OpenCV
- Hands on experience across the Microsoft BI technology stack
- Determine product value and prioritize areas of investment
- Experience in one or more analytic languages and tools such as Python OR R OR C++ OR C# OR Java etc
List of Typical Skills For a Data & Applied Scientist Resume
1
Skills For Senior Data & Applied Scientist Resume
- Strong visualization experience using Power BI and a good handle on DAX
- Strong visual storytelling skills with Power BI, Excel, Tableau, etc
- Strong software development skills in one or more high level languages (C/C++/Java/C#) and one or more scripting languages (Python/R/javascript)
- Balance of strong development and communication skills
- Strong skills in data querying techniques and languages, including SQL and for large scale analysis R, Python, and related tools
2
Skills For Principal Data & Applied Scientist Resume
- Demonstrated history of innovative thinking and problem-solving skills in Big Data problems
- Excellent communications & interpersonal skills, with the ability to communicate complicated analysis & insights to a non-technical audience
- Strong verbal and communication skills in English are required and fluency in German, French, Spanish or other European languages is highly desirable
- Excellent communication and collaborative skills - High level of entrepreneurial drive
- Strong theory/algorithm background and very good understanding on how to apply advanced knowledge to solve real-world problems
- Proven experience in implementing supervised and unsupervised learning techniques
- Work effectively under time pressure with multiple deliverables
- A team player with great collaboration, communication, and interpersonal skills
- Hands on analytics experience with proven quantitative orientation
3
Skills For Data & Applied Scientist Mgr Resume
- Strong communicator with the proven ability to run multiple work streams
- Skill and Experiences in Data science, Natural Language Understanding, Machine Learning, Deep Learning, Reinforcement learning
- Solid experience and understanding in all the areas of the Machine Learning Model Life Cycle
- Course work and prior experience in data and/or text analytics, with focus on predictive models, neural networks and other AI techniques
- Balance data-driven decisions with intuition – logical skills and business sense
4
Skills For Xbox Data & Applied Scientist Resume
- Developing a good understanding of business, identifying and analyzing problems and challenges
- Preference also given to candidates with coursework or experience in statistical modeling and inference, machine learning, data mining, time series forecasting
- Data forecasting and analytics proficiency, using AzureML, R, SPSS, or similar; 3+ years of statistical forecasting; 5+ years of advanced analytics experience
- Experienced with machine learning using AzureML; 1+ years of Machine Learning
- Experience in data, data sciences, mathematics, statistics, data modeling, predictive modeling analytics or data engineering
- Including PhD research) of experience in Machine learning/Deep learning
- Experience in areas such as massive database applications, parallel or distributed processing, high performance computing, large scale data mining are desired
5
Skills For Modeling Data Applied Scientist Resume
- Effective in rapidly evolving environments and working across organizational boundaries
- Experience with agent planning, decision making, control and optimization
- Experience with data engineering and solution implementation in SQL, Scope, C#, Python, Java or similar data programming languages
- Strong curiosity to dig into data and ask probing questions to find real insight and answers rather than immediately accepting surface level conclusions
- Experience with machine learning and a basic understanding of algorithms and big data solutions
- Experience processing large data sets through statistical software (ex. R) and programming languages (ex. Python), or other methods
- Software engineering, programming, and/or software development experience
6
Skills For Data Applied Scientist Resume
- Experience working with Big Data processing tools
- Experience building production grade machine learning enabled solutions end to end
- Research experience in Machine Learning/Deep Learning
- Adept at communicating findings: pliable to differing audiences, skilled at various data visualizations
- Professional experience in experiment design and applied machine learning predicting outcomes in large-scale, complex datasets
- Experience across industries in predictive modeling; and
- Experience taking predictive models from a back-of-the-napkin mockup to full autonomy
- Experience with Financial modeling and P&L, especially in a Microsoft context
- Experience working in a global team or in 24x7 service operations
7
Skills For Data & Applied Scientist Resume
- Experience utilizing SQL OR U-SQL OR PostgresSQL
- Experience working with big data technologies such as Hadoop and Spark
- Self-directed, with 2+ years experience successfully delivering complex data products as an individual as well as a part of a larger team
- Results are demonstrated by meeting relevant success metrics (for example, continuously improved, mitigation velocity, and cross-functional process efficiency)
- Experience with report design and delivery using Excel/Power BI/Tableau
- Experience in at least one language/scripting languages, such as C#, Java, Python, PowerShell, or Perl
8
Skills For Senior Data & Applied Scientist Resume
- Effective contracting with co-workers, partners and customers to define data needs, research questions, analysis plans, and deliverable timelines
- Experience in gathering and prepare data for analysis to make critical business decision
- Large scale computing experience
- Experience with at least one of the following C++, C#, Python, R
- Experience implementing predictive solutions
- Experience in any of the deep learning frameworks (PyTorch, Keras, TensorFlow, CNTK, Theano, Caffe, etc)
9
Skills For Principal Data & Applied Scientist Resume
- Experience in predictive modeling across many business domains
- Knowledge and experience in working with multiple variables problems
- Experience with machine learning and information retrieval technologies
- Tware design and development experience with C++/C#/Java, or similar programing languages in commercial software services
- Programming or data science experiences in C++/C#/Java or other similar languages
- Define data science priorities through a deep understanding of business goals
- Work with game designers, developers, producers, and testers to measure and analyze the customer experience across new and existing game features
- Experience with machine learning frameworks (CNTK, TensorFlow, Theano)
- Programming experience in Python / R / other related technologies
10
Skills For Data & Applied Scientist Mgr Resume
- Strong background in machine learning and predictive analytics methods
- Find innovative solutions given data realities including incomplete information priors
- Experience using data/ML/AI to impact critical product or business decisions
- Demonstrated ability to work in ambiguous situations and across organizational boundaries. Creative and innovative thinker
- Validates, monitors, and drives continuous improvement to
- Experience in applied data analysis
- Experience using machine learning in a user based ecosystem
List of Typical Responsibilities For a Data & Applied Scientist Resume
1
Responsibilities For Senior Data & Applied Scientist Resume
- Strong project management skills and ability to multi-task in order to move forward in highly dynamic situations
- Excellent interpersonal oral and written communications skills and the ability to work well in a startup environment
- Communicate results effectively for application to business decisions and provide follow-up insights in a timely manner
- Team management skills - mentor vendor analysts, manage and train data providers so they deliver high quality work and data
- Experience with statistical packages such as SAS, R, SPSS, PowerViews and deep experience with advanced Excel functionality
2
Responsibilities For Principal Data & Applied Scientist Resume
- At least intermediate Excel and PowerPoint skills
- Experience with R or Python scripting (or other platform-agnostic language)
- Experience in at least one scripting/languages, (e.g. C#, Java, Python, PowerShell, or Perl)
- Experience in research or data analysis related work
- Professional experience presenting data derived insights to business stakeholders
3
Responsibilities For Data & Applied Scientist Mgr Resume
- 2+ ears of experience with Excel, SAS, MATLAB, or AMPL
- Experience with data analytics or business intelligence
- Data science and/or business intelligence experience
- Experience with Excel, SAS, MATLAB, or AMPL
- Experience in C#/Java/C++/ or C
- Demonstrated proficiency of basic program management
- Experience in building ML models is desirable
4
Responsibilities For Xbox Data & Applied Scientist Resume
- Convince other strong personalities of their ideas and communicate complicated analysis & insights to non-technical audience
- Industry design and/or development experiences in C#/C++/Java/Python
- Experience with prediction in adversarial (threat) environments highly desirable
- Industry experience in data-driven scenarios
- Manage ad hoc request in-take and prioritization for your subject area and provide dedicated analysis and insights monthly
5
Responsibilities For Modeling Data Applied Scientist Resume
- Strong communicator with the ability to run multiple work streams
- Project management experience; CAPM, PMP, or agile certifications ideal
- Experience with Excel, SAS, MATLAB, or AMPL
- Experience with machine learning & data mining
- Experience building Power BI reports that use big data
- Experience in developing data models
- Proven ability to manage projects with or without direct authority and deliver tangible results
- Develop, apply, and maintain ML algorithms to identify root causes of specific customer experiences in both marketplace and in-game channels
6
Responsibilities For Data Applied Scientist Resume
- Research opportunities and implement Data/ML solutions that improve game quality and enhance the customer experience
- Experience with Python, R
- Manage ad hoc request in-take and prioritization for your team and provide dedicated analysis and insights monthly
- 2-3 of years of experience doing data science or marketing analytics
- Industry work experience in statistical analysis and implementing predictive models
7
Responsibilities For Data & Applied Scientist Resume
- Experience on computing systems like Azure Data Lake, Hadoop, MapReduce
- Effective in communicating the approach & insights
- Experience with machine learning and predictive analytics
- Solid understanding of statistical inference
- Data engineering experience
- Strong written and verbal communication to educate and work with cross functional teams
- Extensive SQL Experience
- Experience in supply chain processes, flows and data architectures
8
Responsibilities For Senior Data & Applied Scientist Resume
- Industry work experience as a Data Scientist or Software Engineer
- Several years’ experience with at least one of the ML related technologies (Azure ML, MLlib, H20, Scikit-learn, Various R Packages)
- Several years hands on experience with R Packages for both data prep and analysis
- Experience driving successful Software Compliance initiatives
- Experience working in a Data Governance role
9
Responsibilities For Principal Data & Applied Scientist Resume
- Technical experience using or (and preferably) developing machine learning models and data platforms
- Experience programming in C# OR C++ OR Java OR
- Experience with Data Science programming languages like Python, R, SQL, Hive to train and ship ML models
- Relevant work experience in analytics, data engineering, business intelligence or related field
- Experience as data scientist
- Strong intellectual curiosity and passion to solve real-world problems
- Experience as people manager
- MS or PhD in Statistics or 5 years relevant experience
10
Responsibilities For Data & Applied Scientist Mgr Resume
- Experience in cyber security or cyber defense
- SQL or NoSQL experience
- Experience with Hive query language and Kusto query language
- Strong intellectual curiosity and passion to solve real-world problems for enterprises and consumers
- Hands-on experience with graph modelling and computational network models
- Education or industry Experience with big data technologies such as Hadoop, Spark, or Kafka
- Hands-on experience in big data with large scale distributed data platforms such as Hadoop. Familiarity with MapReduce
- Professional experience in applications of advanced statistical and analytical techniques
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