Staff Data Scientist Resume Sample
Celestino Trantow
854 Taryn Ferry,
Philadelphia,
PA
+1 (555) 753 4858
Work Experience
Senior Staff Data Scientist
07/2016
-
PRESENT
Los Angeles, CA
- Provide thought leadership for security analytics for
- Work in cross-functional teams to translate deep learning algorithms into commercially viable products and services
- Lead and Contribute to technical teams in development, deployment and application of deep learning capabilities
- Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, pursuing patents where appropriate
- Research and evaluate emerging technology, industry and market trends to assist in product development and/or operational support activities to for multiple teams or complex scenarios
- Provide thought leadership for system level analytics for enterprise-grade applications
- Participate in data science workouts to shape analytics opportunities and identify use cases to create customer value
Staff Data Scientist
03/2013
-
02/2016
San Francisco, CA
- Experience with data science, mathematics, statistics, CS, economics, or data-driven problem-solving
- Experience with applying advanced analytic techniques, including natural language processing and machine learning
- Experience with building data products using open source programming languages, including Python, R, TensorFlow, and ElasticSearch
- Experience with scaling data products across distributable computing environments, including Hadoop, MapReduce, or MongoDB
- Interpret project requirements through discussions with clients and propose creative solutions to address their needs
- Proficient in either R or Python
- Perform exploratory and targeted data analyses to test business / customer hypotheses
- Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, regression, statistical inference, and validation methods
Staff Data Scientist Big Data & Discovery
07/2006
-
01/2013
New York, NY
- Assist in ensuring proper definition of data needs, evaluation of data quality, and critique appropriate statistical analyses, for critical projects and perform needed analyses
- Play a broader role in terms of overall analytic strategy across GE Transportation Digital
- Work with subject matter experts to develop a good understanding of Seagate’s Field, Integration, Telemetry, Manufacturing, and Systems data
- Develop incremental reporting requirements and maintain and manage data in line with the data architect’s roadmap
- Develop analytics within well-defined projects to address customer needs and opportunities.
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Experience in data products with expertise in one or more of the following: recommender systems, classification algorithms, data mining, outcomes research
- Mastery of programming and scientific computation (Python, R), data visualization (d3, shiny) and presenting data in a relatable way
- Friendly, articulate, and interested in working in a fun, small team environment
Education
University of Kansas - Edwards Campus
2001 - 2006
Science's Degree in Computer Science
Professional Skills
- Demonstrate strong communication skills and able and willing to collaborate as part of any project team
- Demonstrating strong programming skills in large-scale data analysis using Java, R, Python or related software
- Excellent predictive modelling skills
- Strong data, statistics, and analytical skills with a solid grasp of SQL/Python
- Programming skills in any of C/C++/C#, python
- Exceptional debugging, testing, and problem-solving skills
- SQL development skills writing complex queries, transforming data, mining structured and unstructured data
How to write Staff Data Scientist Resume
Staff Data Scientist role is responsible for technical, database, software, leadership, python, programming, languages, hadoop, sql, analytical.
To write great resume for staff data scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Staff Data Scientist Resume
The section contact information is important in your staff data 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 Staff Data Scientist Resume
The section work experience is an essential part of your staff data 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 staff data 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 staff data scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Staff Data Scientist resume experience can include:
- Practical Machine Learning experience with demonstrated experience in feature engineering and data analysis
- Proven ability to effectively distill and communicate complex analysis to different audiences
- Proven ability to apply the skills above to real-world business problems
- Excellent oral and written communication skills, with the ability to communicate complex technical concepts to all levels of the organization
- Prior experience with innovative algorithms and visualizations using modern analytical techniques in Data Mining, Machine Learning and Statistics
- Effectively communicate and explain results to key decision maker
Education on a Staff Data Scientist Resume
Make sure to make education a priority on your staff data scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your staff data 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 Staff Data Scientist Resume
When listing skills on your staff data 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 staff data scientist skills:
- Excellent written communication, verbal communication and presentation skills are required
- Proven ability to think customer-first and effectively
- Proven experience in using well-established supervised and unsupervised machine learning methods for large industrial-strength data analysis problems
- Work Experience in Related Field/Position including experience with building predictive models and Data Analytics
- Willingness to dig-in and understand the data and to leverage creative thinking and problem-solving skills are absolute musts
- Prior experience working in the security and/or anti-fraud space
List of Typical Experience For a Staff Data Scientist Resume
1
Experience For Senior Staff Data Scientist Resume
- Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones)
- Demonstrate Leadership skills – Ability to lead a team, mentor junior staff and close out technical projects
- Demonstrated skill in data warehousing and database management
- Demonstrated skill in data processing optimization
- Strong implementation experience with high-level languages and frameworks such as Python or R
2
Experience For Staff Data Scientist of Innovation Resume
- Demonstrated skill in feature extraction and real-time analytics development and deployment
- Working experience: IoT Sensors & Devices, Predictive Maintenance and Prognostics & Health Management
- Experienced in developing and integrating software allowing for flexible and scalable data transformation with data quality controls
- Experience with medical imaging analysis leveraging methodologies using GPUs
- Experience using data access tools and building dashboards with large datasets from multiple data sources
- Hands-on programming experience with one or more of the following: Java, Python, R, or related languages
- Experience in developing statistical models, machine learnings and carrying out complex quantitative analytics
- Experience working with biomedical non-imaging data
- Demonstrated expertise in critical thinking and problem-solving methods
3
Experience For Staff Data Scientist Big Data & Discovery Resume
- Hands-on experience in building data science solutions and production-ready systems on big data platforms such as Spark, Hadoop
- Proven track record of leveraging data science solutions to drive impactful business decisions
- Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
- Experience with AI and machine learning technology for product reliability analysis and development
- Experience with at least one programming language JAVA/C/C++/Python
- Hands on experience using BI tools like Tableau
- Experience with analytic prototyping
- Experienced in implementing Big Data technologies successfully in an enterprise
- Experience with end-to-end modeling projects, from research to solutions to analytics products
4
Experience For Senior Staff Data Scientist Process & Systems Modeling Resume
- Experience with a general-purpose programming language (e.g. C, Java, Python, etc.)
- Develop, verify, and validate analytics to address data loss prevention and insider threat needs and opportunities
- Quantify the effectiveness and value of innovations with subject matter experts
- Experience with product reliability technologies including design for reliability/test (DFR/DFT), manufacturing test and field operation monitoring/maintenance
- Experience with sklearn, pandas, numpy or similar packages
- Experience with AWS infrastructure
5
Experience For Staff Data Scientist Resume
- Experience with web frameworks to visualize large datasets
- Focused to deliver a best practice customer e-commerce experience
- Experience with statistical modeling, machine learning, digital analytics, media analytics
- Initiating and proposing unique and promising modeling projects, developing new and innovative algorithms and technologies, pursuing patents where appropriate
- Gathering and analyzing data, identifying key prediction/classification problems, devising solutions and building prototypes
- Researching and implementing methodologies to measure the impact of the technologies
- Programming in Excel Macros or R Scripting or Phyton
- Engineering or science discipline
- Outstanding team player with a customer-back mindset
6
Experience For Senior Staff Data Scientist Resume
- Working knowledge of health care systems and healthcare terminology
- An understanding of traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting)
- Lead marketing analytics work for the team, including overseeing the work of more junior data scientists
- Confidence in taking ownership and passion in driving changes in a fast-paced working environment
- Successful history of manipulating, processing, and extracting value from large disconnected data sets
- Hands-on advanced proficiency in handling and analyzing large data sets such as medical imaging data
7
Experience For Staff Data Scientist of Innovation Resume
- Stay up-to-date in the field of machine learning and deep learning. Apply new technologies in development of product
- Oversee the design, development, deployment and management of batch and real-time credit models for both onboarding and monitoring purposes
- Apply creative and unconventional thinking with standard industry best practices to solve challenging and unique business problems
- Oversee the design, development, deployment and management of batch and real-time fraud and credit risk models for both onboarding and monitoring purposes
- Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs
- In-depth understanding of manufacturing process and tools
- Reduced order or Data driven models using statistics/ reliability/ probability /data mining techniques
8
Experience For Staff Data Scientist Big Data & Discovery Resume
- Apply logic and critical thinking in analyzing complex problems
- Ph.D. or foreign equivalent in Data Science, MIS, Computer Science, Computer Applications, Computer Engineering, Industrial Engineering, or related field
- Apply data mining, NLP, and machine learning to enhance Intuit’s security and anti-fraud efforts
- Lead collaboration with teams across the company: Product, marketing, Content and Engineering
- Provide real time analytic tools and reporting capabilities for various purposes including
9
Experience For Senior Staff Data Scientist Process & Systems Modeling Resume
- Knowledge in optimal computational environment required for data processing, data mining and machine
- Provide assistance with data collection, querying and storage
- Data Science & Machine Learning Methodologies
- Develop self-learning big-data systems that can autocorrect and auto-learn patterns based on multiple data sources
- Play a major role in the direction and strategy of the Intuit Risk Management road map adding critical value to the organization
10
Experience For Staff Data Scientist Resume
- Drive thought leadership and embrace emerging industry innovation
- Translate insights about complex issues into simple explanations and visualizations to aid understanding by a wide range of audiences
- Transform business goals into hypotheses and tangible data mining goals. Plan and execute experiments
- Collaborate with other business stakeholders to define business problems and to design solutions using advanced analytics
- Expertise in machine learning and statistics, with an emphasis on decision optimization
- Generate reports, annotated code, and other project artefacts to document and archive e.g. using version/source control systems
- Be directly accountable to Data and Analytics Director providing clear and concise communications
List of Typical Skills For a Staff Data Scientist Resume
1
Skills For Senior Staff Data Scientist Resume
- Solid communication skills -- demonstrated ability to explain complex technical issues to both technical and non-technical audiences
- Strong written and verbal communication skills and an ability and interest to mentor other junior data scientists
- Proven experience with Hadoop and related programming environments (Hive,Pig,etc)
- Data quality experience – Work experience in Manufacturing or Shop data
- Possess skills related to being an analyst, architect, programmer, communicator, operations engineer and trusted adviser
- Strong programming experience in Python, if not MATLAB or Java
- Research experience with 5+ years of core machine learning/AI experience
- Proven experience building end-to-end business decision analytic solutions
- Proven experience in predictive analytics, segmentation, experimental design and related areas
2
Skills For Staff Data Scientist of Innovation Resume
- Uses teamwork skills to achieve goals, solve problems, and manage conflict. Understands individual differences
- Strong implementation experience with a variety of high-level languages and frameworks such as Python, Tensorflow, Keras, Caffe, CNTK, C/C++ etc
- Global mindset with ability to effectively work in and lead teams within a matrixed environment
- Proven experience in system analytics techniques and frameworks including deep learning frameworks
- Strong implementation experience with high-level languages and frameworks such as R, Python, Perl, Ruby, Scala, Storm, SAS
- Strong implementation experience with high-level languages and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm, SAS
- A self-starter able to learn fast and work effectively independently or in a team environment
- Demonstrated expertise in one or more industry sectors where BHGE operates (i.e., Upstream, Midstream, Downstream)
3
Skills For Staff Data Scientist Big Data & Discovery Resume
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python, R, C, C++)
- Extensive experience with Drive, Media and Head experience
- Hands on experience working with very large data sets, including statistical analyses, data visualization, data mining, and data cleansing/transformation
- Experienced with solving complex data centric problems by using analytical thinking and development tools in an academic or professional setting
- Experience with designing, building and managing large scale ML and analytics platforms
- Experience with big data batch processing tools: Hadoop MapReduce, ElasticSearch, PIG, Hive, Cascading/Scalding, Apache Spark, AWS EMR
- Experience with AWS cloud computing design, provisioning, and tuning
- Excellent understanding of machine learning and deep learning techniques, algorithms and best practice principles
4
Skills For Senior Staff Data Scientist Process & Systems Modeling Resume
- Experience developing and maintaining analytical reports using Tableau, Superset, Plotly Dash or similar tools
- Build scalable, efficient, automated processes for large-scale data analysis and machine-learning models (including development, validation, and serving)
- Skilled at probing for, evaluating and synthesizing data from disparate data sources to draw interpretive insights
- Demonstrated awareness of data visualization and storytelling methods for conveying information to stakeholders.
- Experience in project management including resourcing,
- Academic coursework or industry experience in applied math, advanced statistics, data mining, and machine learning
- Academic coursework and industry experience in applied math, advanced statistics, data mining, and machine learning
- Bring in leadership and new ideas from day one given large body of experience solving relevant problems in industry
5
Skills For Staff Data Scientist Resume
- Strong manufacturing creativity and problem solving capabilities
- Experience designing efficient algorithms with Statistical programming environments
- Experience incorporating engineering analytics or advanced
- Strong research background with deep expertise in building various machine learning/AI and statistical data models in Weka/Python/R/Java
- Experience in performance tuning for machine learning services
- Experience driving projects and taking initiative to lead a conversation and ask questions
- Experience in applying Machine Learning techniques to solve business problems
- Experience with traditional Business Intelligence relational database modeling, tools and processes
- Experience with programming languages – Python (required), Scala, Ruby, R
6
Skills For Senior Staff Data Scientist Resume
- Experience with stream-processing systems: Kinesis, Kafika, MQTT
- Experience with relational NoSQL databases including DyanamoDB
- Experienced in writing peer-reviewed scientific manuscripts
- Demonstrated and externally recognized expertise in system level modeling
- Experience with statistical and analytic programming design and technologies (e.g., Python, Julia, R, Spark, SQL, etc.)
- PhD in Engineering, Math, Physics, or related field and 6+ years related experience
7
Skills For Staff Data Scientist of Innovation Resume
- PhD in Engineering, Math, Physics, or related field and 6+ years of related experience
- Master’s in Engineering, Math, Physics, or related field and 5-7 years of experience
- Post-PhD experience in supply chain, logistics, retail, consulting or in a strategic, business analyst capacity
- Experience with data science and/or software engineering
- Additive manufacturing experience would be an added advantage
- Experience with manufacturing machine health assessment or predictive capability development
- Experience with integration and cleansing of disparate or incomplete data sets to deliver insight
- Experience with two or more of the following: R, SQL, SAS JMP, Tableau, SAP HANA, SQL Server, Python, Hadoop, KNIME, Statistica
8
Skills For Staff Data Scientist Big Data & Discovery Resume
- Experience in media KPIV/KPOV understanding, tests and processes
- Experience with Linux command line and bash scripting
- Experience with reverse engineering malware
- Experience with a deep learning frameworks such as TensorFlow, Theano, or MXNet
- Experience with GPU-accelerated computing and hardware (e.g., NVIDIA DGX-1)
- Experience using Hadoop and Spark
9
Skills For Senior Staff Data Scientist Process & Systems Modeling Resume
- Experience using relational and non-relational databases
- Solid understanding of software development tools &
- Thrive and demonstrate constant applied learning in highly complex, interdisciplinary, and dynamic work environment
- Experience developing on big data platforms (ex. Map-Reduce ,spark)
- Experience with statistical and analytic programming design and technologies (e.g., Python, Julia, R, Spark, SQL, SAS JMP, etc.)
- Solid understanding of data structures, algorithms, object oriented design and patterns
- Experiences with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano, H20, etc.)
- Experience writing software in one or more ML languages such as Python, Scala, R and/or similar
10
Skills For Staff Data Scientist Resume
- Experience with major programming languages such as in Java, Python, Scala
- Experience with most of the following Big Data technologies: AWS EMR or Hadoop, Spark, and Lucene/SOLR
- Experience with Internet-scale distributed systems such as recommendation, personalization, search, demand forecasting, etc
- Maintain effective working relationship with business leaders, stakeholders, users and partners to integrate programs into overall strategic objectives
- Experience in analytic design and implementation and using analytic tools
List of Typical Responsibilities For a Staff Data Scientist Resume
1
Responsibilities For Senior Staff Data Scientist Resume
- Superior analytical skills and creative problem solving skills are a necessity
- Write technical reports summarizing development, analysis, training, validation, and testing of the algorithms
- Experience in Data Mining techniques and Machine Learning algorithms in Aviation industry
- Experience working with NoSQL Databases (HBase, Cassandra, Couchbase, etc.)
- Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation
- Data science experience, preferably with fraud and credit risk detection solutions
- Experience in AWS technology
- Experience in a Big Data with Spark/Hadoop tech stack
2
Responsibilities For Staff Data Scientist of Innovation Resume
- Experience in analytical and modelling tools, such as Python, R or SAS
- Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders
- Prioritize and execute tasks in a high-pressure environment, focused on practical results
- Hands on development experience in Core Java, Python, SQL
- Experience with feature extraction
- Experience with prescriptive analytics
- Experience with Keras and/or TensorFlow
3
Responsibilities For Staff Data Scientist Big Data & Discovery Resume
- Professional experience as a data software engineer
- Previous experience as a Data Engineer / Database Administrator and/or Business Intelligence Analyst
- Years of experience in Artificial Intelligence technologies and deep familiarity with key tools, technologies in AI
- Experience in a global matrix organization / multi-site development environment
- Significant development experience with Python, Matlab, R, or Scala
- Apply data mining, NLP and machine learning (both supervised and unsupervised) to improve our relevance and personalization algorithms
- Be a thought leader and guide clinical data science at key customer partnerships – data strategy, labeling techniques, annotation and curation methodologies
- MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc
- Evaluate big data technologies and prototype solutions to improve data processing architecture
4
Responsibilities For Senior Staff Data Scientist Process & Systems Modeling Resume
- Attention to detail and a proactive, inquisitive attitude –take chances in trying analytics concepts from other fields to solve problems in our area
- TensorFlow, Keras, Theano, TFLearn, MXNet, or other deep learning toolkits
- Extremely proficient in at least one of the following: python, Spark/Scala, Hadoop/Java, or any other enterprise level object oriented language
- Six Sigma Methods and techniques: DOE, Regression, DFSS, RSM, Factor Profiling and Monte-Carlo Simulation Analysis
- Ph.D. or foreign equivalent in Data Science, MIS, Computer Science, Computer Applications, Computer Engineering, or related field
- Proficient to advanced level in operational research (linear programming, eg. Simplex algorithm)
- Use advanced machine learning techniques to predict or alert in case of failures, and recommend actions that can mitigate or resolve them
5
Responsibilities For Staff Data Scientist Resume
- Automate data collection, pre-processing and/or analysis
- The eagerness to change the world in a huge way by being a self-motivated learner and builder
- Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”
- Log analytics, process mining and knowledge discovery at scale
- Run exploratory analyses into ambiguous problems and define metrics to build a quantitative understanding of our business
- Do whatever it takes to deliver business value with data, be it building a data pipeline, a report, a dashboard or a predictive model
- Expertise in streaming analytics frameworks such as Apache Spark, Storm, MOA and WekA
- PhD in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering
6
Responsibilities For Senior Staff Data Scientist Resume
- Expert in analyzing large complex, multi-dimensional data sets with a variety of tools
- Proactively identify opportunities and solve challenging business problems with a variety of data tools in a fast-paced, collaborative environment
- Use predictive analytics and classical modeling techniques for statistical inference and creation of data insights
- Analyze, retrain, and improve machine learning models
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand consumers
7
Responsibilities For Staff Data Scientist of Innovation Resume
- Develop self-learning systems that can predict failures and
- Understands the competitive landscape, regulatory marketing, etc
- Teach and develop compelling technical success
- Understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop (HDFS, MapReduce, Spark, HBase, Hive, Beam)
- Architect and design self-learning systems that can detect
- Knowledge of database concepts, object and data modeling techniques and design principles
- Database technologies - SQL, performance tuning concepts, AWS RDS, RedShift, MySQL
8
Responsibilities For Staff Data Scientist Big Data & Discovery Resume
- Actively contribute to design and implementation of data science and data analytics related projects
- Experience building highly scalable solutions in data storage, real-time analysis and reporting for multi-terabyte data sets using technologies like: Impala,Hive, HBase, Spark and Hadoop environment in general
- Overall experience with at least 2 in big data / data science positions
- Industry experience in applying data science and modeling methodologies: experimental design (Multivariate/A-B testing), regression model, survival model, decision tree, random forest, ensemble modeling, NLP, recommendation algorithm, deep learning algorithm and nonparametric Bayesian modeling etc
- Experience and proficiency in Python, R and/or Spark-ML
- Work in cross-functional teams to translate big-data algorithms into commercially viable products and services
- Contribute to technical teams in development, deployment and application of applied analytics, predictive analytics and prescriptive analytics capabilities
9
Responsibilities For Senior Staff Data Scientist Process & Systems Modeling Resume
- Work with the engineering team to incorporate your analyses and solutions, including working with the visualization team to create intuitive UI and rich UX stories. Partner with data engineers on data quality assessment, data cleansing and data analytics efforts
- Gather and analyze large data sources, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code
- Initiate and propose unique and promising modeling features, develop new and innovative algorithms and technologies, pursuing patents where appropriate
- Build semantic and graph models for knowledge extraction, discovery and storage and enable bot-apis
- Research and evaluate emerging technology, industry and market trends to assist in project development and/or operational support activities to for multiple teams or complex scenarios
10
Responsibilities For Staff Data Scientist Resume
- Develop self-learning systems that can predict failures and autocorrect based on multiple data sources
- Work in cross-functional teams to translate algorithms into commercially viable products and services
- Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code
- Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leader
- Build learning systems that monitor data flows and react to changes in customer preferences and business objectives
- Potential projects can include
- Develop logic and tool to determine optimal share of volume to process in various customer buying channels in the company balancing inventory availability, capacity, cost, and service level requirements
- Oversee the design, development of real-time and back-end (i.e., non-real time) risk and fraud models to predict and control risk associated with new accounts, and to combat credit card fraud, bank account fraud, identity theft fraud, spoof fraud etc
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