Associate Data Scientist Resume Samples

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M Fadel

Marcella

Fadel

405 Dulce Rest

Chicago

+1 (555) 545 6144

405 Dulce Rest

Chicago

Phone

p +1 (555) 545 6144

Experience Experience

Phoenix, AZ

Associate Data Scientist

Phoenix, AZ

Hauck-Towne

Phoenix, AZ

Associate Data Scientist

Keep current with new and developing software technologies and assist in prototyping and determining the feasibility of implementing new technologies
Develops systematic reporting processes and procedures to ensure timely delivery of weekly, monthly, quarterly, annual and ad hoc reporting to management
Be involved in all stages of a data science product development from definition, design, development and delivery
Interpret results, present findings and recommend alternative solutions to research management and business decision makers
Work with large amounts of structured and unstructured data
Track daily industry news and disseminate relevant articles to management and team
Initially work with various data & tech teams to understand proprietary data sets, schemes and structures

Dallas, TX

Associate Data Scientist, / II

Dallas, TX

Armstrong, Jenkins and Brown

Dallas, TX

Associate Data Scientist, / II

Validates data to ensure accuracy and uses complex data and algorithms
Applies business, statistical and predictive modeling expertise to identify underlying trends
Works closely with application developers to ensure proper implementation of algorithms. As well as the subject matter experts to translate manual data analysis into automated analytics, resulting in faster more meaningful data extraction for users
Uses coding expertise along with statistical computing platforms to develop algorithms and automated processes to integrate and analyze data from multiple disparate sources
Develops machine learning, data mining, statistical, and graph-based algorithms to analyze massive data sets
Use of statistical, algorithmic, mining and visualization techniques
Working with analytics teams to code and manage automated ETL processes in the cloud

present

Phoenix, AZ

Senior Associate Data Scientist

Phoenix, AZ

Klocko and Sons

present

Phoenix, AZ

Senior Associate Data Scientist

present

Build recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data
Cluster large amount of user generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop and Spark
Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
Drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management; communicate results and educate others through reports and presentations
Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems
Strong knowledge in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval
Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities

Education Education

Bachelor’s Degree in Statistics

Hofstra University

Bachelor’s Degree in Statistics

Skills Skills

Strong knowledge of Linear Algebra, Probability, Statistics and Optimization
Good knowledge of programming (python or R) and knowledge of SQL are
Experience writing code and using data science tools such as SQL, Python, Tableau, ArcGIS, and/or Hadoop highly desirable
Strong analytical and problem solving skills with a solid understanding of business
Good communication skills, able to articulate complex ideas in a structured way
Knowledge and proficiency in R
Deadline management skills with solid oral & written communication and a rigorous quality assurance ethic
Strong analytical and quantitative problem solving ability
Good understanding of probability and hypothesis testing
Good understanding of available data sources

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Associate Data Scientist Resume Examples & Samples

Willingness to learn
Java
Scripting (Shell, Bash, Perl)

Associate Data Scientist Resume Examples & Samples

Initially work with various data & tech teams to understand proprietary data sets, schemes and structures
Identify new data and analysis opportunities through the acquisition of additional data sets, or the new combination of existing data sets
Create scalable analytical models based on the combination of current and future data sets
Analyse potential of “dark data” for insight mining
Work with other business content teams such as data and editorial to produce data visualisations
Work with Technology Dept on future data schemas and structure to ensure the outputs are fit for use within the FG product suite
Work with Product Development on delivering the required data / data format to support product development
Experiment with fuzzy logic mapping and matching technical to blend disparate by overlapping data sets
Experience in data programming skills, such as R, SAS, SQL, MS Access, ECL
Good understanding of available data sources
Strong background in mathematics, statistics, and economics
Quick to understand customer work flows
Analytical thinker
Experience in machine learning, data visualization, and data manipulation tools
A relevant degree such as data science, data programming, statistical economics
Getting and cleaning data

Senior Associate Data Scientist Resume Examples & Samples

Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns
Five years of professional experience working as a Data Scientist in State & Local Government, Security Clearance preferred
Masters degree or PhD from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with a minimum of two years of relevant experience (strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint)
Proficiency in analysis (e.g. R, SAS, Matlab) packages, programming languages (e.g. Java, Python, Ruby) as well as the ability to implement, maintain, and troubleshoot big data infrastructure, such as distributed processing paradigms, stream processing and databases such as Hadoop, Storm, SQL and Solr

Associate Data Scientist Resume Examples & Samples

Education from a top-tier university with a strong emphasis on quantitative analysis
Quantitative background: machine learning, data analysis, optimization, statistics
Good understanding of probability and hypothesis testing
Good knowledge of programming (python or R) and knowledge of SQL are a plus
LI-LC2

Associate Data Scientist Resume Examples & Samples

Advanced Excel skills with a focus on formula development and creating macros. VBA programming experience preferred
Experience with or serious interest in learning Python or R
Undergraduate degree in a quantitative field such as Mathematics, Management Science, Finance or other relevant area is preferred
Digital marketing experience is preferred

Associate Data Scientist Resume Examples & Samples

Research, retrieve, design, troubleshoot, and deliver organized analytics regarding healthcare, capitation, accounts receivable, utilization data, claims data and financial accounting data
Subject Matter Expert as it relates to healthcare capitation, accounts receivable, utilization, claims, and financial accounting data
Analyzes and extracts data from the Enterprise Data Warehouse (EDW) to report to internal and external customers
Serves as a key resource to finance teams by providing data/analytical support, mentoring, guidance and technical expertise
Designs, develops, tests, documents and maintains database queries for ad hoc reporting used in complex conceptual analyses
Develops systematic reporting processes and procedures to ensure timely delivery of weekly, monthly, quarterly, annual and ad hoc reporting to management
Manages reporting and analysis elements on all business initiative projects
Recommends and implements new or modified reporting methods and procedures to improve report content and completeness of information
Analyze benchmarking data, reports, processes, and measurements for key managed care indicators to recognize trends and assist in developing forecasts and financial planning
Develops innovative approaches to achieve deliverables and increase efficiencies
Functions as a team lead, oversees the work of others within designated teams
Bachelors Degree, Finance, Accounting, Business Administration, Healthcare Administration, or related field required (4 additional years of comparable work experience beyond the required years of experience may be substituted in lieu of a bachelor’s degree)
5+ of general healthcare accounting, finance, or operations experience
2+ of experience in a reporting and analytical role
Proficient in SQL, SQL Reporting Services, MS Access, and MS Excel and/or equivalent data capture/reporting tools
3+ years of experience in a managed care environment
5+ years of reporting and analytic experience
Understanding of the complexity of Member healthcare accounting, claims and revenue

Associate Data Scientist Resume Examples & Samples

Bachelor or Masters Degree in Physics, Mathematics, Statistics, Computer Science or related field with project experience in data analysis, statistical modeling and hypothesis testing
Working knowledge of one or more SQL languages: Oracle, MySQL, PostgreSQL, Redshift, etc
Working knowledge of one or more statistical analysis packages: R, SPSS, SAS, Numpy/Scipy, etc
Development experience in at least one programming language: Python, Java, C++, etc
Knowledge of Machine Learning concepts: e.g., cross-validation, regularization, boosting, bootstrapping, etc
Experience with large data sets and distributed computing (Hive/Hadoop) is a plus
Experience with one or more Business Intelligence and visualization tools (Business Objects, Tableau, ChartIO, JMP, etc.) is a plus
Salesforce experience/certification is a huge plus but not required

Associate Data Scientist Resume Examples & Samples

Participate and drive advanced analytics discovery workshops, ensuring good business understanding, business & analytics success criteria and data requirements
Processing, cleansing, and verifying the integrity of data used for analysis
Selecting features, building and optimising classifiers using machine learning techniques
Creating automated predictive analytics and anomaly detection systems and constant tracking of its performance
Produce analytics assets to be used in go-to-market initiative
Fluent in Swedish and English (written and spoken)
Experience with some common data science toolkits, such as R, Python, SPSS (Statistics and Modeller), SAS, RapidMiner, etc
Proficiency in using query languages such as SQL, Hive, Pig
Experience with at least one NoSQL database, such as Cloudant, MongoDB, Cassandra, HBase, etc
Graduate degree in statistics, mathematics, physics, biostatistics, computer science or physical engineering

Associate Data Scientist, / II Resume Examples & Samples

Validates data to ensure accuracy and uses complex data and algorithms
Applies business, statistical and predictive modeling expertise to identify underlying trends
Works closely with application developers to ensure proper implementation of algorithms. As well as the subject matter experts to translate manual data analysis into automated analytics, resulting in faster more meaningful data extraction for users
Uses coding expertise along with statistical computing platforms to develop algorithms and automated processes to integrate and analyze data from multiple disparate sources
Develops software to generate reports and visualizations that summarize data sets and provide data driven insights to customers. Identifies need for and creates ad-hoc reports on experiments
Builds models or develops experiments to generate data when training or example data sets are unavailable
Develops machine learning, data mining, statistical, and graph-based algorithms to analyze massive data sets

Associate Data Scientist Resume Examples & Samples

Wrangles large amounts of data from multiple sources
Cleanses and prepares data for modeling and analysis
Uses the correct data mining approach to solve business problems including customer segmentation, marketing and promotional campaigns, operations enablers, and various market-growth initiatives
Appropriately evaluates model results and iterates as necessary
Consults on internal database(s) in collaboration with business partners (e.g., IT, Marketing) to ensure data quality
Efficiently and accurately produces data reports, visualizations, and insights to meet the needs of business partners
Minimum of 2+ years' experience using data mining tools and advanced analytical methods in a business environment or advanced technical degree
Proficiency with relational database systems
Proficiency and proven experience with techniques in accurately joining large data sets from multiple sources and manipulating data to desired format
Experience with data visualization
Strong analytical and problem solving skills with a solid understanding of business
Experience in one or more statistical programming languages (R, Python, SAS, SPSS)
Bachelor's degree in Economics, Statistics, Applied Mathematics, Computer Science, Management Information Systems or a related field
Demonstrated ability and proven results exemplifying initiative, project management skills, and accuracy/detail-orientation
Ability to work independently and with team
Extremely curious about data
Strong organizational and prioritization skills
Strong desire to learn new data mining languages and techniques
Knowledge and proficiency in R
Brings unique knowledge or expertise to team in some aspect of advanced analytics (e.g.; statistics, uplift modeling, marketing mix models, econometric modeling, predictive modeling, machine learning, etc.)
Demonstrated ability to summarize and present complex analytics to senior leadership

Associate Data Scientist Resume Examples & Samples

Design, develop, maintain, and support new and existing engineering software applications
Actively contribute to technical and functional design sessions
Provide creative solutions when dealing with technology challenges
Keep current with new and developing software technologies and assist in prototyping and determining the feasibility of implementing new technologies
BS in Computer Science or a related major
Experience with Windows C#/.NET and Python development
Experience with machine learning applications
Experience with REST, data science algorithms and distributed computing is a plus
Excellent interpersonal, communication, and presentation skills
English fluency (written and verbal) required

Associate Data Scientist Resume Examples & Samples

1 year experience with big data analytics
5 years experience with SQL and relational databases (for example, DB2, Oracle, SQL Server)
5 years experience with statistical programming languages (for example, SAS, R)
Bachelor's degree in Statistics, Economics, Analytics, Mathematics and 10 years experience in an analytics related field
Certificate in business analytics, data mining, or statistical analysis
Doctoral degree in Statistics, Economics, Analytics, or Mathematics and 3 years experience in an analytics related field
Master's degree in Statistics, Economics, Analytics, or Mathematics and 6 years experience in an analytics related field
Employment Type:Full Time

Associate Data Scientist Manager Resume Examples & Samples

4) Collaborate actively and effectively with other functions partners and senior management to accomplish project objectives
Unix/Linux
Scientific Computing: R, Python, C++, Java, Scala,
High-Performance Parallel and Distributing Computing
Data Management Systems

Associate Data Scientist Resume Examples & Samples

Gaining a deep understanding of Akamai’s business by working with management to recommend insights, approaches and strategies, based on understanding of the business and analysis of data
Help inform business decisions in areas such as customer segmentation, product development, marketing, and employee productivity
Prepare analysis and support management by preparing presentations of their business as needed
Take initiative to keep up with developments in the field of data science, and to independently learn a great deal on the job
Help business leaders in Sales, Marketing, Product, and Operations formulate critical questions that may be answered through financial analysis, statistical analysis, and linear programming
MS degree in a quantitative discipline like Statistics, Mathematics, Finance, Operations Research, or Industrial Engineering
1+ years of relevant analyst or scientific research experience
1+ years’ experience with SQL, R, statistical analyses and machine learning algorithms
Ph.D. in discipline with major in Cognitive or Social Psychology, Statistics, Economics, Computer Science, or Operations Research
Has the initiative to chase down and evaluate new data sources and analytical solutions relevant to solving business problems
Strong problem solving skills when faced with disparate data sets
Experience with extracting and parsing unstructured data (e.g., XML, JSON)
Knowledge of Excel, Access, and PowerPoint
Experience and success in working with cross-functional teams (especially sales, services, marketing, finance, and customer support)
Strong oral communication skills and ability to present analytical results to a non-technical audience
Experience in the high-tech industry

Associate Data Scientist Resume Examples & Samples

Gather requirements from appropriate business partners for projects with minimal help, including necessary data for analysis to be performed
Delve deeply into a varying array of large data sources, determining the appropriate data for the analysis to be performed, discovering issues, identifying potential uses, and preparing for analysis
Establish and systematically performs processes to assess and validate data accuracy. Finalize the appropriate data for the analysis to be performed under supervision and constructs modeling data sets
Determine and perform appropriate exploratory analysis such as data mining, empirical data analysis, univariate analysis, partitioning analysis, etc
Work with and streamline established data warehouses, initiate new development of databases, production data, and available tools to build strategic datasets in support of key initiatives
Ascertain and execute plans to build, implement and maintain predictive models using available tools and programming languages. Monitor and provide feedback on model performance and recalibrate model as necessary

Associate Data Scientist Resume Examples & Samples

Data Engineering
Effective Visualization and Presentation
Identify, extract, and integrate data sets ranging in size from spreadsheets to big data
Discover the best methods of integrating data from several different sources and formats for use in analyses
1+ years of experience in business environment as a data scientist/business analyst/quantitative analyst
Master’s degree in a quantitative discipline (Engineering, Sciences, Economics, Finance, Computer Science, or equivalent), extraordinary candidates considered with Bachelor’s or Master’s in progress
Can describe machine learning tools and techniques (supervised and un-supervised) to a non-technical audience
Fluent in
Big data framework, e.g

Associate Data Scientist Resume Examples & Samples

Bachelors or Masters degree specializing in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence, Computer Science or Operations Research
Good understanding of state of the art statistical modeling/machine learning/ data mining concepts, and related experience solving problems with these methods
Experience building predictive systems
Hands-on proficiency with languages such as R/Python/Octave
Proficiency in writing efficient SQL
Interest to do lots and lots of proof of concepts/rapid prototyping
Attitude to work in a fast paced and continuously changing environment with our team
3 to 5 years of working experience
Experience working on AWS Cloud computing technology (RedShift, EC2, EMR, Spark)
Understanding of Big Data Technologies like Apache Hadoop, Apache Spark and MapReduce
Knowledge in Financial Services domain

Associate Data Scientist Resume Examples & Samples

Mercury Marine is our largest division, anchored by our brands Mercury and MerCruiser; we are the biggest and best marine engine manufacturer in the world
Brunswick Boat Group is the world's largest recreational boat builder and is comprised of many of the best known brands in boating
Life Fitness, the global leader in fitness equipment, is the flagship brand of our Fitness Equipment division: manufacturing and selling high quality cardio and strength equipment. This brand also includes our heritage brand, Brunswick Billiards
Successful candidates will have varying backgrounds, but common characteristics will include 1-3 years of analytics or data science experience, as well as strong leadership and project management capabilities
They will be excellent communicators with a passion for our products and the creativity and proactive nature needed to drive results
Given the company's strategy to develop leaders for the entire corporation, those with geographic mobility will be more attractive during the selection process
We are looking for candidates who not only fit the program's hiring needs, but also for people who will be successful in multiple divisions of the Company
For international students, Brunswick will consider immigration sponsorship for eligible positions

Associate Data Scientist Resume Examples & Samples

Support regional/theatre-level data science projects
Work with our behavioral and intent marketing data sources and help operationalize them
Work with our selected software vendors to come up with new kinds of solutions for them to ingest our predictive models
Be innovative – Drive to learn new ways to make impact to the business with data
Assist in building and validating groundbreaking machine learning and predictive models for compelling business use cases
Self-driven personality
Ability to speak business language
Innovation and ability to execute
Agile methods like SCRUM or Kanban
Marketing knowledge/experience a plus
Working knowledge of databases
Data manipulation and transformation skills
Skills with SQL or Python or other scripting languages
Analytical thinker with demonstrated data analysis capabilities
Big data technologies (Hadoop, Spark, Hive, Drill, Pig, etc.) a plus
Data Visualization skills with tools like Tableau, Looker, Qlikview, Spotfire, etc. a plus
Experience with CRM systems likes Salesforce a plus
Cloud technologies (AWS, Azure, etc.) a plus
Marketing Cloud solutions (Adobe, Marketo, etc.) a big plus
Culture: Energetic, dynamic, startup environment with outstanding career and professional growth opportunities

Associate Data Scientist Resume Examples & Samples

Assist Analytics Lead building scalable analytics systems for clients across the agency
Working with analytics teams to code and manage automated ETL processes in the cloud
Take initiative in improving internal data collection, compilation, and formatting processes
1+ years’ working experience with Bachelor's Degree in logic or numeric based field
Ability to operate independently but also work well with the team and partners throughout the organization
Fluency in Python and SQL as well as solid Microsoft Excel proficiency
Experience with AWS or other cloud platforms
Great communication, teamwork, and project management skills

Associate Data Scientist Resume Examples & Samples

Continuously measure machine learning models’ performance
Use algorithms to learn the models’ behavior so abnormal changes in them can be detected
Create new Machine Learning models
Tests and validate machine learning models
2+ years relevant experience
Good knowledge of and some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop for data extraction and prep for analysis
Possesses strong exploratory analysis skills
Has the ability to think and research creatively
Ability to connect data using Web API or REST API
Familiarity with data visualization tools, such as Tableau
Strong background in geographic data or location intelligence

Associate Data Scientist Resume Examples & Samples

Minimum education requirement of four year degree in statistics, computer science, mathematics, economics, or a similarly quantitative discipline. Additional education is preferred
Five (5) or more years of relevant advanced analytics experience – strong proficiency in advanced statistical, predictive and machine learning techniques (agent based modeling, random forest, support vector machines, neural networks, survival analysis, Bayesian statistics, etc)
Demonstrated creative problem solving & critical reasoning abilities
Ability to understand business context and translate to develop appropriate analytics solutions
Established ability to communicate effectively and proactively
Strong proficiency in R required
Experience writing code and using data science tools such as SQL, Python, Tableau, ArcGIS, and/or Hadoop highly desirable

Associate Data Scientist Resume Examples & Samples

Build ML models to power real-time risk decisions regarding payments and money movement for small businesses, recommend the best financial outcomes and actions for consumers, and help
Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL
1-3 years work experience with data science
Expertise in modern advanced analytical tools and programming languages such as Python with scikit-learn or R
Fluent in SQL enough to get the data you need from a warehouse (Vertica, Hive, SparkSQL, etc)
Large-scale graph algorithms, clustering, page-rank, and community detection
Ensemble Methods, Deep Learning, and other trendy topics in the Machine Learning community

Senior Associate Data Scientist Resume Examples & Samples

Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
At least 4 years of experience in Information Technology
4+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms
Experience with Apache Spark and Scala
Knowledge of Cloudera or Julia for statistical learning and optimization algorithms
Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc
Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements

Associate Data Scientist / Pricing Analyst Resume Examples & Samples

Day to day, you will be working on algorithms and models through the design, prototyping, implementation and revisions. We will train you in cutting edge analysis methods including data science algorithms. You will have freedom to try new ideas, experiment and communicate with the team
You will analyse the result of your models and making decisions. An important part of your role is assessing the business implications of your decisions. You will quickly have the power to make changes to the way we operate!
You will liaise with the rest of the business to communicate our actions and identify where the next opportunities lie. To be successful into the role, you will need to be able to communicate with multiple teams at different organisational levels
Education with a strong emphasis on quantitative analysis
Quantitative background: machine learning, data analysis, optimisation, statistics
Deep understanding of probability and hypothesis testing
Good knowledge of programming (python or R) and knowledge of SQL

Associate Data Scientist Resume Examples & Samples

Strong background in Chemical Engineering or other engineering related area, Computer Science, Analytical Chemistry, Biochemistry, Mathematics, and Statistics
Experience in biopharmaceutical development or related fields involving data analysis and interpretations
Expertise in math, statistics, Matlab, and/or computer science
Excellent data analysis/interpretation skills, verbal & written communication skills, and be able to successfully interface with multidisciplinary teams engaged in bioprocess development and manufacturing
Recent internship/co-op experience in biopharmaceutical development or biotechnology is preferred

Associate Data Scientist Resume Examples & Samples

Analyze business performance, identify hypotheses to evaluate and prioritize business opportunities and translate into modeling requirements. Define the key metrics and data points needed.Leverage large amounts of complex, multidimensional disparate data sources using SQL, Hive, or other scripting and statistical tools
Perform statistical and modeling deep dives to identify problems, opportunities and actions required. Including developing prototypes and automation to leverage the insights
Optimize insights through experimental design
Work hand in hand with senior executives to clearly translate insights into actions and business priorities
MS/PhD in Statistics, Computer Science, Math, Engineering, Physics or a related quantitative discipline
1+ years of prior experience in a data science role
Familiarity in Linux/Unix environments
Coding experience in Python and a frontend language such as JavaScript. Java and C/C++ a nice to have
Expertise using statistical analysis tools such as R, SAS, Matlab etc
Real world experience with statistical modeling concepts including experimental design, machine learning approaches, clustering and classification techniques, and recommendation algorithms
Proficiency in SQL and working with relational databases
Experience with Hadoop based and NoSQL big data frameworks
Demonstrated ability to design and develop end to end data products, from automated data extraction, through model fitting to front end presentation
Experience with BI tools such as Tableau or Microstrategy
Proven exceptional business and communication skills

Associate Data Scientist Resume Examples & Samples

The role would encompass building analytics, recommendation, framework and identifying key analytics projects for Global Customer Support, focussed on Customer analytics. Responsibility cut across teams
You will be working on data modeling and identifying patterns in Global Customer Support data
Generating Models for classifications for Customer Success initiatives using Machine learning
Generating taxonomy from customer case data using Natural Language Processor
Building Natural Language processing platform, Data Lake for Customer data
Derive insights from Structured, semi-structured and Unstructured data – Supervised and Unsupervised
Specify manipulative or computational methods to be applied to models
Perform validation and testing of models to ensure adequacy and reformulate models as necessary
Communicate results to key stakeholders to support informed business decisions by providing in-depth analysis and recommendations
Observe the current system in operation and gather and analyse information about each of the parts of component problems, using a variety of sources
Knowledge of machine learning techniques like Bayesian, Decision Trees, Neural Networks, etc
Knowledge of advanced statistical methods including multi-variate statistical methods, discrete choice modelling, etc
Exposure to NLP techniques like Dependency parsing, Semantic Role Labelling etc
Optimization solutions like constraint based optimization, game theory, etc. is a bonus
Working proficiency in at least one programming language (C++, Java, R, Python, etc.) and SQL
Working proficiency in at least one data mining tool (SAS, SPSS, R, RapidMiner, etc.)
Prior experience with Big Data platforms/tools (Hadoop, MongoDB, Cassandra, etc.) and exposure to Customer Support domain will be added advantages
2-3 years of demonstrated ability for industrial scale modeling using advanced analytics is a must
Bachelor’s degree in Computer Science or Master’s degree in Mathematics or Statistics

Associate Data Scientist Resume Examples & Samples

This position has the opportunity to sit in West Plano, Texas or Austin, Texas.**
Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans
Develops analytical models to drive analytic insights
Leads small and participates in large data analytics project teams
Manages the continuous improvement of data science and analytics
Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity
Presents data insights and recommendations to key stakeholders
Provides and supports the implementation of business solutions

Associate Data Scientist Resume Examples & Samples

Bachelor’s Degree in Computer Science, Statistics or Mathematics and 0 or more years’ experience in transforming data for use in the business analysis area
Master’s Degree in Computer Science, Engineering, Mathematics or Statistics, or other relevant STEM degree
Experience preparing data and/or developing insights for use in business decisions
Advanced problem solving skills

Associate Data Scientist Resume Examples & Samples

Partner with Email product team to identify and work on high-impact projects utilizing big data analytics and machine learning
Focus on category personalization, campaign and offer optimization
Work with high dimensional and fast moving data to build adaptive learning systems, data science products and through your work have direct impact on revenue and bottom line
Influence Staples email strategy by category, by business unit, and customer segment
MS/PhD in Computer Science/Engineering/Operations Research/Statistics/Physics or a related technical discipline
About 7 years of total work experience in technology field
4 years of experience with data mining, machine learning, statistical modeling tools and underlying algorithms
2 years of programming experience in one of the languages like Python/R/Ruby/Perl/Shell/C/Java or equivalents
Minimum 2 years of relevant work experience in advanced analytics space
Minimum 2 years of work experience in developing personalization algorithms

Associate Data Scientist Resume Examples & Samples

Intermediate experience with at least one of SQL, Excel, R, Python, or functional equivalent
Demonstrated background in quantitative analysis, especially concepts related to statistical analysis or machine learning
3+ years of experience of business analysis ORcertificate from a relevant data-oriented bootcamp OR undergraduate degree in a quantitative field such as Mathematics, Management Science, Finance, or any other relevant area
Digital marketing, cloud-based computing, and shell scripting experience are preferred but not required

Associate Data Scientist Resume Examples & Samples

2+ years of experience using machine learning, and/or pattern recognition
Strong knowledge of Linear Algebra, Probability, Statistics and Optimization
Strong data analysis skills
Strong analytical and conceptual skills
Good communication skills, able to articulate complex ideas in a structured way
Ability to work with virtual and distributed teams
Quick learner, open and ready to learn new skills as needed 3-4 years in the area of data science

Employee Success Associate Data Scientist Resume Examples & Samples

Work with the business to build data science related experiments
Develop and build sustainable machine learning models and statistical analysis to better understand employee behavior and data
Drive the maturity of data science in the region
2-3 years of experience in applied statistics, data mining and analysis, and/or management consulting
Proficient with R, SQL, and/or Python
Proficient with using advanced statistical models and techniques like neural networks, k-means clustering, NMF, market baskets, Bayesian inference, etc
Excellent verbal and written communication skills; ability to communicate effectively with different levels of management, as well as the business and technical communities
Extremely adept at integrating disparate information and understanding data trends
Must be able to proactively communicate status and identify risks
Team-first mentality
Must be comfortable with changing requirements and priorities
Must be results oriented and able to move forward without complete information and with minimal supervision

Associate Data Scientist Resume Examples & Samples

Maintain and recommend improvements to the Statistical Operations Teams coverage estimates
Review, validate, and test updates made to coverage projections
Validate, analyze, and conduct statistical analysis on data using analytical software (Excel, SQL, and SAS)
Analyze and define efficient, workable solutions that support client business processes and functional requirements for research projects
Extract qualitative findings from large data sets
Write reports that include effective graphs, tables, summaries, and narratives
Develop and execute test cases to ensure data requirements have been met
Research and resolve client-reported issues
Interpret results, present findings and recommend alternative solutions to research management and business decision makers
Track daily industry news and disseminate relevant articles to management and team
Bachelor Degree in Statistics, Decision Sciences, Economics, Physics, Mathematics, or similar field required
Highly competent in data manipulation and critical thinking
Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities. Knowledge of data mining and software applications
Ability to distill large amounts of information into key findings
The ability to clearly articulate research in written and verbal presentations with software developers, clients, management, and sales staff
Data management experience with SQL and SAS programming
Experience with Excel, including pivot tables, formulae, vlookups, and graphing
Strong organizational skills including the ability to multi-task and prioritize efficiently to meet deadlines
Strong attention to detail and problem solving skills
Self-motivated, takes initiative, loves to learn, and continuously seeks new knowledge
Strong documentation skills from both a business and technology perspective
Effective troubleshooting and investigation skills to identify root cause of problems
Proven ability to manage and perform multiple tasks under conditions of fluctuating workloads, competing requirements, and changing deadlines while maintaining accuracy; working independently and completing assignments with minimal direction
Self-starter who is self-motivated, efficient, responsible, and dependable
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