Lead Data Scientist Resume Sample
Laron Abshire
39160 Owen Village,
New York,
NY
+1 (555) 362 0554
Work Experience
Lead Data Scientist
02/2018
-
PRESENT
Detroit, MI
- Write complex SQL queries against enterprise data warehouses
- Work with stakeholders to identify analytics technology requirements. Lead teams to develop, adapt, combine, and choose data science methodology (statistics, machine learning, optimization, simulation) to address complex analysis requirements
- Evaluate and validate correctness of analytics models and analysis. Assess and validate performance of models and analysis to meet business objectives
- Evaluate business analytics strategies and determine analysis goals. Determine data requirements and performance metrics to support analysis
- Investigate data characteristics, complexity, quality, and meaning through visualizations and summarizations. Define performance metrics; identify trends, outliers and drivers of outcomes. Develop mitigation strategies for potential problem areas
- Determine decision support needs and deploy visualizations and reports
- Lead the prioritization of the Data Science team’s workload
- Engage with stakeholders to consult around analytical project requirements, discuss methodologies and negotiate deliverables
- Learning and practicing new tools in an ambitious technical environment that combines both hacking skills, web technologies and real-time data
Lead Data Scientist, Data Center
07/2013
-
10/2017
Phoenix, AZ
- Analyse pre-existing models and algorithms; provide suggestions on how to improve the efficiency and effectiveness with changes that affect the bottom line of the organization
- Act as a thought leader within the Data Science team
- Build relationships with Google and the wider Data Science community
- Deep level of expertise combined with an MSc or PhD in Statistics, Mathematics, Operational Research or similar field
- Strong programming skills in Python and R
- Hands on experience using “big data technologies”
- Experience of software engineering techniques including version control, continuous integration, unit testing
- Ensures timeliness and high quality of deliverables from analysis team
- Supports staff to resolve statistical or technical issues
CSA Lead Data Scientist
08/2009
-
03/2013
San Francisco, CA
- Polygraph and strong experience with data processing and integration including Extract/Transform/Load (ETL) workflow engineering utilizing various formats (XML, JSON, flat files)
- Demonstrated experience with and solid knowledge of cloud technologies
- BS and 8 years' related experience
- Learn, practice, and lead others in using new tools in an ambitious technical environment that combines both coding skills, web technologies and real-time data
- Analyze pre-existing models and algorithms; provide suggestions on how to improve the efficiency and effectiveness, to drive value to the organization
- Act as a thought leader within the Data Science team, staying current with trends and technologies
- Extensive machine learning and modeling experience, preferably within an e-commerce environment
- MSc or PhD in Statistics, Mathematics, Operational Research or similar field
- Stakeholder management; ability to independently communicate complex information to a wide audience
Education
Lawrence University
2003 - 2008
Science's Degree in Computer Science
Professional Skills
- Strong organizational, management and leadership skills. Excellent analytical and problem solving skills
- Strong project management and planning skills, with proven experience managing multiple projects
- Strong machine learning skills with 5+ years of experience with modeling packages such as Python, R,
- Excellent analytical skills and strong statistical knowledge, as well as interest in applying them to complex problems
- Excellent project management skills, including project structuring and managing multiple work streams
- Excellent problem solving skills, critical thinking and conceptual thinking abilities
- Proven skills in Machine Learning, e.g., linear/logistics regression discriminant analysis, bagging, random forest, Bayesian model, SVM, neural networks, etc
How to write Lead Data Scientist Resume
Lead Data Scientist role is responsible for programming, analytical, business, technical, analytics, python, sql, presentation, development, learning.
To write great resume for lead data scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Lead Data Scientist Resume
The section contact information is important in your lead 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 Lead Data Scientist Resume
The section work experience is an essential part of your lead 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 lead 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 lead data scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Lead Data Scientist resume experience can include:
- Lead team of 2-3 Data Scientists on the development and delivery of predictive analytics solutions to drive behavior change or customer experience across channels
- Consults with business partners to understand problems and goals, understand business value, and translate into business opportunities to be captured through predictive analytics solutions
- Develops and/or uses advanced algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
- Leads experimental design of campaigns across multiple channels, i.e., web, mobile app, email, social, Apple watch, in partnership with marketing stakeholders. Evaluates campaign performance for further optimization in subsequent iterations
- Demonstrates superior communication skills, and ability to develop and participate in presentations and consultations to business stakeholders on analytics results and solutions
- Excellent communication, writing skills and presentation skills
Education on a Lead Data Scientist Resume
Make sure to make education a priority on your lead 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 lead 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 Lead Data Scientist Resume
When listing skills on your lead 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 lead data scientist skills:
- Strong skills and experience using statistics and machine learning
- Very good programming skills and/or experience in scripting languages (Python, R, Scala or others)
- Strong coding and debugging skills in one or more of the following technologies: Java, Python, PySpark.ML, Pandas, Scikit-learn
- Excellent communication skills, including the ability to convey complex statistical concepts to laypeople
- Exceptional coding skills and experience with Python and Scala for data analysis
- Strong programming skills such as Hadoop, Java and Python
List of Typical Experience For a Lead Data Scientist Resume
1
Experience For Lead Data Scientist Resume
- Strong data extraction and processing skills and experience
- Good experience with EC2/EMR or Hadoop with a solid understanding of distributed processing/map-reduce
- Possess solid project management skills, PMO or similar training or certification
- Preferably solid Javascript, .Net, or Java development skills
- Strong project management skills, Project Management Office (PMO) or similar training or certification
- Strong organizational skills and ability to work with in time constraints in a highly regulated industry
- Discover efficient solutions to complex problems. Strong skills in data-structures and algorithms
- Experience managing a task force as matrix or direct manager. 5+ years of experience working in integrated development and analytic teams
2
Experience For Lead Data Scientist, Data Center Resume
- Have proven experience in geospatial analytics
- Experience with machine learning, and knowledge of how to build and validate predictive models
- MS or PhD in a quantitative discipline with 4+ years of experience or a BS in a quantitative discipline with 7+ years of experience
- Strong quantitative background with extensive experience building statistical analysis and financial model on data sets from multiple domains
- Demonstrated healthcare, health insurance, or pharmaceutical industry experience
- Experience formulating, leading, and executing applied-research projects and assisting in their production implementation
3
Experience For Analytics Lead Data Scientist Resume
- Experience of working on a project end-to-end: problem scoping, data gathering, EDA, modelling, insights and visualizations
- 3+ (with PhD) or 5+ (with MS) year working experience with and/or publishing in Deep Learning
- Good working knowledge of high performance computing, parallel data processing, and big data stack, e.g. Spark and Hadoop/Yarn
- Proven success of collaborating with internal stakeholders and clients, supported by examples of driving projects forward and delivering to plan
- Strong background in machine learning, computational semantics, and statistical modeling for predictive analytics
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, etc
- Information Retrieval/Natural Language Processing with a solid background in statistical learning techniques
- Work with the call center staff to design effective training materials that accurately reflect the methodology designed by Data Science
4
Experience For CSA Lead Data Scientist Resume
- E- Experience in trend analyses, multivariate statistics (parametric/ non-parametric), optimization techniques, and machine learning
- Strong understanding of laboratory workflows and practices
- Experience of laboratory analytical testing
- Strong understanding of database structure, design, of large distributed systems, and statistical concepts
- A good understanding of NLP techniques
- Be able to demonstrate a broad understanding of market dynamics in the financial services industry
- Professional experience building predictive and descriptive models
5
Experience For Principal Lead Data Scientist Resume
- Extensive experience working with large datasets
- Proficiency in using query languages and experience with large-scale production databases
- Proficiency in using graph query languages, such as Cypher or Gremlin and experience with graph databases highly desirable
- Develop and deploy services that operate in production environments at scale
- Collaborate with infrastructure teams and the TPO organization to resolve issues which impact end user experience
- Have experience in video / image analytics, and data fusion thereof
- Practical experience of working with unstructured data
- Experience with common data science toolkits, such as R, Python, Tensorflow etc
6
Experience For Senior / Lead Data Scientist Resume
- Experience with data visualization tools, such as D3.js, GGplot, Tableau, Qlik etc
- Professional experience in data science or an adjacent field with an established track record of making things that work
- Experience with relational and non-relational databases (e.g. Postgres, Cassandra, Redis, Elasticsearch) and working knowledge of SQL and data transformations
- Experience developing RESTful APIs and software libraries Familiarity with virtualized/containerized environments (e.g. EC2, Docker)
- Experience with streaming data (e.g. Kafka, Kinesis)
7
Experience For Senior Lead Data Scientist / Engineer Resume
- Some experience in the following areas is desirable
- Experience with relational and non-relational databases (e.g. Postgres, Cassandra, Redis) and working knowledge of SQL and data transformations
- Cross-function experience
- PhD or Masters and 5+ years experience in Computer Science, Math, Statistics, or related quantitative discipline. This is NOT an entry level role
- AppDev teams to validate production implementations of complex methodology and engineer our internal data model
- Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (AWS, Azure, etc.) is highly desirable
- Apply your quantitative analysis, data mining, and machine learning techniques to improve Autodesk’s evidence-based decision-making capabilities
- Extensive experience working with large and complex datasets
- Extensive experience and expertise in statistical and data mining techniques in big data environment
8
Experience For Senior Lead Data Scientist Resume
- Experience with data enrichment with alternative data sources
- Collecting and preprocessing data, prototyping concepts, design cutting-edge machine learning algorithms
- Performing natural language, machine learning, and statistical analysis methods, such as classification, sentiment analysis, and topic modelling
- Leading and managing DW/BI BigData team
- Testing those machine learning algorithms on production data
- Applying NLP techniques for translating of user queries to searches on datastores
- Using NLP and ML techniques and our robust structured databases to
9
Experience For Corporate VP, Lead Data Scientist Resume
- Translating product requirements into algorithms and visualisation which deliver business insights
- Working knowledge of cloud environments especially AWS and automated infrastructure important
- Learning motivates the team, and we want a creative mind with who we can work together to find solutions to hard problems
- Understanding of probability theory and statistical inference - required
- Developing platform systems and software to help data science scale at EBI and Comcast at large
- Applying NLP techniques for information extractions from free text
10
Experience For Innovation Lead Data Scientist Resume
- Expert in data mining and advanced modeling techniques including predictive modeling using R and/or Python
- Select innovative methods including machine learning, deep learning, other cognitive computing methods and artificial intelligence
- Fluent in building/prototyping machine learning models and algorithms and wrangling large datasets
- Mentor the Agile team of data scientists. Help solve challenging problems with problem formulation, coding, debugging, and planning of future iterations
- Guide internal and external partners in designing, developing and running data science for advanced analytics programs
- Facilitate mentoring and sharing of Data Science / Machine Learning techniques and solutions to local teams as well as the Data Science Community in general
- Build methods for document clustering, topic modelling, text classification, named entity recognition, sentiment analysis, and part-of-speech tagging
- Support the engineering team in productionising and operationalising prototypes
List of Typical Skills For a Lead Data Scientist Resume
1
Skills For Lead Data Scientist Resume
- Good scripting and programming skills in Python
- Strong skills in R/Python and SQL working in a big data environment
- Uses strong programming skills to extract, explore and interpret large volumes of data in various forms
- E- Strong communication/writing skills
- Effective communicator at all levels with great presentation skills
2
Skills For Lead Data Scientist, Data Center Resume
- Strong communication and presentation skills, including the ability to translate analyses to non-technical audiences
- Experience of which at least 5 years of hard core design experience and strong development background on data science & analysis
- Good experience with User Experience (UX) design and Design Thinking
- Salary of between £35,000 - £55,000 depending on skills, experience and qualifications
- Outstanding technical writing skills and competence with presenting to and influencing government seniors required
- Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice
- Outstanding communication and stakeholder management skills - demonstrating the ability to sell and explain complex technical solutions across multiple domains
- Demonstrated experience planning and executing development projects, including estimation of engineering task size is ideal
- Experience performing data analysis, including preparation, modeling, validation, and presentation
3
Skills For Analytics Lead Data Scientist Resume
- Prior experience working in banking inance domain would be an added advantage
- Relevant industry work experience providing advanced analytics solutions, or 5+ years consulting experience
- Experience working in a relevant role with a proven track record of delivering high profile solutions in a fast paced environment
- Demonstrated experience with actually shipping code, getting data science into production
- Extensive working knowledge with data wrangling skills (e.g., SQL, Python, Perl)
- Proven experience implementing and deploying advanced analytics solutions for large commercial customers in complex heterogeneous environments
- Experience in modeling and predictive analytics with experience working with structured and unstructured data
4
Skills For CSA Lead Data Scientist Resume
- Experience designing and analyzing validation studies for multi-index diagnostic tests
- Software prototyping and development skills (Python, C++, version control, unit testing, build and continuous deployment tools)
- Software prototyping and development skills (e.g. Python, Java, version control, unit testing, build and continuous deployment tools)
- Investigative, analytical and problem solving skills
- Proven experience managing a team of data science or operations research professionals
- Expert level statistical forecasting skills in a practical environment
- Work with and connect with all levels of employees. Proven experience working in a matrix environment
- SQL development skills writing queries
5
Skills For Principal Lead Data Scientist Resume
- Demonstrated experience with advanced techniques such as deep learning and a passion to stay in front of new strategies
- Prior experience managing a team of data scientists, modelers, or statisticians
- Prior experience managing complex data and analytical projects from start to finish
- Experience in a leading tech company with 7 to 10 years of experience
- Effectively communicate with other members of the team to build and implement tooling and analytics pipelines
6
Skills For Senior / Lead Data Scientist Resume
- Experience with statistical model development. Deep and diverse experience with multiple statistical procedures and data mining algorithms
- Strong experience with using SQL and EXCEL
- Story Telling skills
- Development skills in Python and Javascript (e.g. D3)
- Applied experience in, and excellent understanding of, building machine learning / AI models in production environments to support essential business processes
- Strong hands-on applied mathematical modeling experience in a business environment, preferably across different industry sectors
- Demonstrated experience working successfully as part of a team as well as independently
- How do we detect data anomalies on voluminous data in matter of seconds and communicate them effectively
7
Skills For Senior Lead Data Scientist / Engineer Resume
- Communication/ leadership skills
- Providing Internal expertise in fundamental skill areas such as statistical methods, machine learning, AI, distributed computing, and open-source programming
- Delivering statistical and machine learning models aimed at increasing the effectiveness of ADP's daily forecasting of client fund balances
- Building machine learning models from development through testing and validation to our 30+ million customers in production
- Defining and managing your team’s work plan, based on experience, findings and in line with the Sainsbury’s Bank broad aims for the dataset
- Generating algorithms that help personalize the consumer experience for TURNER brand properties
- Managing the end to end analytics development lifecycle (from ideation to model validation and deployment)
- Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
- Experience mentoring colleagues in data science, including problem-solving and pair-coding
8
Skills For Senior Lead Data Scientist Resume
- Experience with the following data analytics methods (Machine Learning, Simulation, Statistics, Data Mining, Regression, Survival Analysis, Time series models)
- Experience using data access tools and building visualizations using large datasets and multiple data sources
- Demonstrable experience in formulating a problem statement and implementing analytical solutions by understanding available data and functional requirements
- Experience working within a Linux computing environment, and use of command line tools for automating common tasks
- Advanced knowledge of machine learning modeling techniques, and experience visualizing model outputs for engineers, customers and stakeholders
- Solid understanding of unsupervised and supervised modeling techniques, e.g., Clustering, PCA, GLM, Random Forest, Boosted Trees, Linear Classifiers etc
- Solid understanding of statistical modeling and Machine Learning
- Experience in leading Analytics, Data Science or Engineering functions in internet/banking industry
- Experience with leading services delivery work streams in projects, including the awareness of operationalizing a solution in production
9
Skills For Corporate VP, Lead Data Scientist Resume
- Other experience within consideration: Artificial Intelligence (AI), probability/uncertainty modeling, machine learning, data mining, predictive analytics,
- Good working knowledge of SQL and understanding of data modelling and relational databases
- Experience in feature engineering and designing robust model tuning approaches
- Experience at all stages of data science; problem definition, data acquisition & wrangling, modelling, feature engineering and deployment
- Rich experience developing and deploying Machine Learning / Statistical models and algorithms
- Typically requires considerable related technical /business experience including a working knowledge in developing data management processes and systems
- At least six years of work experience focusing on Data Science / Machine Learning – at least four of these years specializing in NLP-related work
10
Skills For Innovation Lead Data Scientist Resume
- Demonstrated awareness of analytic prototyping, analytic scale up, analytic scaling, and solutions integration
- Past experience designing and developing data pipelines to prepare data for algorithms
- Experience hiring and line managing data scientists
- Have practical experience with applying data mining techniques to real world data
- Experience creating learning materials
- Significant experience building robust data processing and analytics pipelines
- Experience working with at least one programming language – Java, C++, Python
- Experience working with at least one machine learning approach – e.g. Mahout, OpenNLP
- Experience working in a large, highly complex and ever-changing organization
List of Typical Responsibilities For a Lead Data Scientist Resume
1
Responsibilities For Lead Data Scientist Resume
- Ensure that the FT’s capability remains at the forefront of developments and new trends in analytics and research to ensure that the FT remains ahead of competitors and the market
- Strong programming skills in Java, Python, or Scala
- Strong communication; ability to effectively connect/translate complex analytics findings to business insights and recommendations
- Strong communication skills and business acumen,
- Demonstrated ability to effectively engage with business and technology stakeholders
2
Responsibilities For Lead Data Scientist, Data Center Resume
- Excellent interpersonal skills which includes communicating with the top management
- Strong skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow and Spark, etc
- Engineering Experience: - Back-end infrastructure, Back-end engineering experience such as: - RabbitMQ, Kafka, Celery - Flask, Django - AWS - System design
- Experience negotiating competing priorities and collaborating with multiple stakeholders
- Communicate effectively regarding progress against target success criteria with the broader team
- Expert SQL skills (e.g. Teradata, MySQL or HIVE)
- P- Demonstrates experience in Nielsen methodologies, data collection, platforms, research processes and operations
- Prior experience and certificates in cyber-security
3
Responsibilities For Analytics Lead Data Scientist Resume
- Have superior communication skills
- The ability to manage a project workload effectively
- Proven ability to understand, cleanse, and integrate massive disparate data sets and demonstrated familiarity with data modeling workflow
- Able to prioritize and drive to results with a strong emphasis on quality
- Experience working with programming and scripting languages such as: - Python - R - Scala - Java - C# - Experience with relational, NoSQL, or Graph databases
- Educate decision-makers to use our data assets more effectively through new tools and techniques
- Take ownership for important data products, understanding the business partners, prioritizing work, assessing their effectiveness and performance
- Programming proficiency in at least one statistical tool language (SAS, R, Python) with a strong preference towards Python
- Interacting with business intelligence team to explore use cases and mine data, and move proven models in to production
4
Responsibilities For CSA Lead Data Scientist Resume
- Good understanding of large-scale data mining and machine learning techniques for clustering, classification, regression, and anomaly detection
- Strong understanding of advanced modeling techniques (e.g. collaborative filtering, mixed-effect models) and learning techniques (e.g. random forests)
- Extensive experience using NLP related techniques/algorithms such as HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modelling, etc
- Experience applying machine learning and deep learning techniques to build models and analyze large scale data
- Experience in feature engineering and designing robust model tuning approaches would be an advantage
- Experience in a professional software engineering environment designing and developing data science solutions
- A solid practical understanding of statistics, including Bayesian analysis
5
Responsibilities For Principal Lead Data Scientist Resume
- Experience with search or recommender systems, information retrieval, graph analysis, statistical modeling, neural network, and natural language processing
- Experience deploying algorithms and writing production level code
- Has experience with digital marketing data analytics (online advertising or web analytics)
- Experience using standard development tools, including Git and JIRA (or similar)
- Experience working with unstructured data and natural language processing
- Has experience with digital marketing data analytics (online advertising and/or web analytics)
- Experience at working at a growth-stage startup company (or be willing to try)
- Experience of leading data science projects and mentoring junior team members
- Experience with demand modeling, dynamic pricing and price optimization
6
Responsibilities For Senior / Lead Data Scientist Resume
- Experience within Data Analytics, ideally across both banking industry and consulting
- Related experience with security data analytics, statistical analysis, predictive modeling, machine learning techniques, and visualization tools
- Professional experience with Natural Language Processing and/or Image Processing
- Design and implement machine learning pipelines that improve Autodesk’s evidence-based decision-making capabilities
- Database extraction and manipulation using SQL/Oracle, with experience in handling big-data an advantage e.g. AWS/Hadoop
- Experience with Data Management platforms and analyzing large quantities of 3 rd party cookie data along with 1 st party data to inform marketing strategies
7
Responsibilities For Senior Lead Data Scientist / Engineer Resume
- >5 years of experience in applying Statistics, Data Science, Machine Learning, Artificial Intelligence
- >1 years of experience in applying Deep Learning (e.g. TensorFlow, Theano, Torch, Keras)
- Experience in building end-to-end AI (Artificial Intelligence) and ML (Machine Learning) solutions
- Experience leading small teams to deliver working solutions within agreed timescales is essential
- Experience designing systems using Python, R, Java or .NET languages
- Team Management – 6+ years of experience in leading teams with a track record of increasing responsibilities
- Experience working in a global development & / or professional service organization
8
Responsibilities For Senior Lead Data Scientist Resume
- Experience working with third-party RESTful APIs for data interrogation beneficial
- Exposure/Experience with graph databases / graph-based processing (Spark GraphX, Neo4j or similar) useful
- Good to have knowledge on one or more domains:CPG, BFSI, Healthcare, Logistics, Manufacturing etc
- Experience working with version control tool – Git, Stash, Bitbucket
- Experience in high-level programming language (e.g. Python, R)
- Progressive experience delivering business value through utilization of ML and AI technologies
- Results-oriented, self-starter with ability to learn quickly and adapt to changing business priorities
9
Responsibilities For Corporate VP, Lead Data Scientist Resume
- Experience building dashboards in platform: Power BI, Tableau, etc
- Experience working with cloud providers (AWS, Microsoft Azure, etc.) for data access
- Experience working with Hadoop data movement tools – Sqoop, Flume, Logstash, etc
- Experience working with Hadoop eco-system data-query components – Impala/Hive, HBase or other NoSQL, HDFS
- Relevant quantitative research and machine learning experience
- Or experience with at least one programming language, such as Java or Python, etc
10
Responsibilities For Innovation Lead Data Scientist Resume
- Experience with large-scale data analysis and building high-performance computational software
- Experience with e-Commerce and analyzing clickstream data
- PhD in Mathematics, Advanced Statistics, Physics, Machine Learning, Computer Science or equivalent work experience
- Experience with Hadoop or big data processing software
- Experience with machine learning platforms like Tensorflow, Jupyter notebook, Scikit or Apache [Spark, Hive, Kafka]
- Experience in traditional programming (Java or C#)
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