• Strong knowledge of statistics / R programming
• Good writing ability and the ability to explain concepts to new readers

Not required but a plus:

• Broader analytics / data science background
• Knowledge of SQL and basic database management
• Other programming languages
• Web development experience

These roles are 100% remote and virtual; the ideal candidate is like either a working professional or graduate student who wants to earn some extra money after hours. Any material can be published under your by-line, so you are welcome to link to it and otherwise claim authorship for your CV.

No resume needed to apply; we would appreciate a couple of bullet points regarding your statistical / technical education, any teaching or tutorial writing experience (student teaching / TA support is fine), and highlights of any paid professional experience in the field. If you have a recent writing sample (term paper, blog, etc.) & R code sample that might also be helpful.

Compensation will be per article (primarily because of a general lack of desire on our part to be in a position where we need to care about what people are doing and when). We will provide topic and a creative brief (you’re welcome to suggest topics), you will need to research the topic and write an appropriate piece. Please let me know what you would charge for an article with ~ 500 words, ~1000 words, and ~2000 words.

We will reach out to high potential candidates to propose a (paid) test article. Our goal is to work towards a long term relationship with a team of part time writers who are comfortable working across technical topics. This job is great way to stay current and expand your technical knowledge.

Interested? please email johnh@programmingr.com

Note: principals only, no agencies please. We are not interested in speaking with SEO companies or content mills. Thanks!

The post Technical Writer – R / Statistics / Data Science (Remote / Virtual Ok) appeared first on ProgrammingR.

We seek a scientific programmer to join the agricultural data science initiative at the University of Arizona. Our team is responsible for developing automated pipelines for data collection, simulation modeling, and statistical analysis that integrate heterogeneous data with scientific understanding. The goal of this project is to develop plants that respond to environmental cues alongside new remote sensing methods that detect these responses.

The scientific programmer will work closely with scientists who collect, use, and analyze data to simulate and analyze the growth and ecological dynamics of engineered plants. The programmer will be responsible for the deployment, development, and execution of data analysis and land surface simulation models (such as BioCro, ED2, and/or CLM5) using the PEcAn (pecanproject.org) simulation modeling and analysis workflow software that integrates data collected from a variety of handheld, aerial, and ground-based sensor platforms.

The programmer will be expected to provide leadership in the development of new software and the adoption of best-practices in scientific computing, support analysis pipelines, learn new computing and  current in fields of science and computing, to apply new knowledge to a cutting edge system, and to provide leadership in design and implementation decisions.

Duties and Responsibilities:

• Consult with collaborators and supervisor to understand and execute simulations.
• Work with team to organize, curate, publish, and use data and simulation model output.
• Develop, refactor, test, and document software.
• Gather feedback from collaborators to define software and analysis requirements and implement robust solutions that meet these needs.
• Develop and maintain technical and non-technical documentation.
• Work in an iterative, agile environment.
• Communicate with team.

Minimum Qualifications

• Either
  • Master’s degree, or equivalent experience, in Computer Science, Math, or related fields AND strong science or engineering background
• OR
  • PhD in ecological, geophysical, or related fields of science AND excellent skills in scientific computing.

• Experience programming in R OR Python and willingness to learn R.
• Demonstrated ability to adapt and learn new skills.
• Excellent organizational skills.
• Demonstrated ability to work collaboratively in a team.

Preferred Qualifications

• Experience working in a collaborative scientific research environment
• Experience with three or more of the following
  • Relational Data with SQL.
  • geospatial data and analysis.
  • Plant Physiology, Ecophysiology, and Ecology
  • Bayesian statistical analyses
  • Simulation modeling.
  • C, C++, or FORTRAN
  • Version Control and Issue Tracking Software

Documents Needed to Apply

• Cover Letter
• CV or Resume

• Example Code or GitHub username

Salary: $50-70k/y

Apply Here: https://uacareers.com/postings/31668

The post Scientific Programmer – Simulation Analysis appeared first on ProgrammingR.

Apply Here: https://uacareers.com/postings/31668

Salary: $50-70k/y

Position Summary:

We seek a scientific programmer to join the agricultural data science initiative at the University of Arizona. Our team is responsible for developing automated pipelines for data collection, simulation modeling, and statistical analysis that integrate heterogeneous data with scientific understanding. The goal of this project is to develop plants that respond to environmental cues alongside new remote sensing methods that detect these responses.

The scientific programmer will work closely with scientists who collect, use, and analyze data to simulate and analyze the growth and ecological dynamics of engineered plants. The programmer will be responsible for the deployment, development, and execution of data analysis and land surface simulation models (such as BioCro, ED2, and/or CLM5) using the PEcAn (pecanproject.org) simulation modeling and analysis workflow software that integrates data collected from a variety of handheld, aerial, and ground-based sensor platforms.

The programmer will be expected to provide leadership in the development of new software and the adoption of best-practices in scientific computing, support analysis pipelines, learn new computing and  current in fields of science and computing, to apply new knowledge to a cutting edge system, and to provide leadership in design and implementation decisions.

Duties and Responsibilities:

• Consult with collaborators and supervisor to understand and execute simulations.
• Work with team to organize, curate, publish, and use data and simulation model output.
• Develop, refactor, test, and document software.
• Gather feedback from collaborators to define software and analysis requirements and implement robust solutions that meet these needs.
• Develop and maintain technical and non-technical documentation.
• Work in an iterative, agile environment.
• Communicate with team.

Minimum Qualifications

• Either
  • Master’s degree, or equivalent experience, in Computer Science, Math, or related fields AND strong science or engineering background
• OR
  • PhD in ecological, geophysical, or related fields of science AND excellent skills in scientific computing.

• Experience programming in R OR Python and willingness to learn R.
• Demonstrated ability to adapt and learn new skills.
• Excellent organizational skills.
• Demonstrated ability to work collaboratively in a team.

Preferred Qualifications

• Experience working in a collaborative scientific research environment
• Experience with three or more of the following
  • Relational Data with SQL.
  • geospatial data and analysis.
  • Plant Physiology, Ecophysiology, and Ecology
  • Bayesian statistical analyses
  • Simulation modeling.
  • C, C++, or FORTRAN
  • Version Control and Issue Tracking Software

Documents Needed to Apply

• Cover Letter
• CV or Resume

• Example Code or GitHub username

The post Scientific Programmer – Simulation Analysis appeared first on ProgrammingR.

Founded in 2007, Periscope by McKinsey enables better commercial decisions by uncovering actionable insights. The Periscope platform combines world-leading intellectual property, prescriptive analytics, and cloud-based tools to enable 25 solutions which focus on insights and marketing, expert support and training. It is a unique combination that drives revenue growth both now and in the future. Customer experience, performance, pricing, category, and sales optimization are powered by the Periscope platform. Periscope has a presence in 26 locations across 16 countries with a team of 350+ IT and business professionals and a network of 300+ experts. To learn more about how Periscope’s solutions and experts are helping businesses continually drive better performance, visit http://www.periscope-solutions.com/.

The post McKinsey – Junior Analytics Analyst – Periscope, New Ventures – San Jose appeared first on ProgrammingR.

The Marketing Data Analyst will provide analytic and strategic support to Backcountry’s Customer Marketing group—which focuses on customer acquisition and retention—within the Marketing Department. The analyst will be responsible for quality implementation and analysis of customer behavior as well as loyalty and retention programs by leveraging multiple data sources. The they have extensive experience manipulating and analyzing large data sets and possess excellent interpersonal, communication, and problem solving skills.

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Information Systems, or Marketing (with an analytic focus) from a top educational institution or other quantitative fields with relevant business experience also considered.
• Experience with data modeling, data mining, and predictive analysis
• Experience with relational databases (SQL, Microsoft Access, etc.)
• Familiarity with one or more statistical programming language (preferably Python or R, but experience with SAS, SPSS, etc. will be considered)
• Command of Microsoft Office applications, particularly Microsoft Excel

Full details about position on their website.

The post Backcountry.com – Marketing Data Analyst – PARK CITY, UTAH appeared first on ProgrammingR.

Are you interested in working for a Fortune 100 retailer? Do you want to be able to apply your analytical knowledge and experience to help solve constantly changing business and customer facing opportunities? As a Consultant on the Business Analytics team you will be supporting Publix with Marketing measurement and data science methodologies, customer predictive models, units sales forecasting methodologies, A/B tests, and market basket analytics.

This position consults with business partners across the organization to provide research based recommendations in support of strategic decisions for Publix. This includes managing the development and deployment of analytical solutions by researching and gathering data, performing statistical analyses to glean insights, software coding and training end users on the use and interpretation of these solutions. The Business Analytics Consultant reports to the Manager of Marketing Business Analytics.

Additional responsibilities include:

• Utilizing data mining and discovery techniques to aggregate data and search for insights.
• Extracting and aggregating sales data from our data warehouses and joining it to other business and customer data to uncover insights and key business drivers.
• Conducting statistical analysis to determine trends and significant data relationships by using predictive software to create regression models (linear, logistic, Bayesian, stepwise, etc.), decision trees, correlation analysis, random forest models, and time series analysis.
• Focusing on the methodical exploration of Publix’s data to insure business intelligence and predictive analytics techniques used to examine historical store and customer transaction data provide insights into how a business area, store, campaign, or item performed over time and/or in the future.
• Determining appropriate coding language to utilize based on the source and analytical methodology that needs to be applied (e.g., SQL will be used when accessing ODBC data sources, R or Python coding language will be used when employing advanced statistical calculations).
• Selecting the appropriate data, statistical models, and test methodologies necessary to help tell the business how to merchandise, market, grow, and target customers and stores.

Full details on their website.

The post Publix – Marketing Analytics Consultant – FL appeared first on ProgrammingR.

This Analyst contributes to Ulta’s business strategy through the use of innovative analytic approaches and influences business decisions made within multiple internal groups at Ulta including senior leadership. This position utilizes data manipulation and data mining capabilities to support the analysis and reporting needs of the CRM, Loyalty and Marketing programs. This role will also develop statistical models to generate powerful insights that will drive the effectiveness/ROI of marketing strategies.

PREFERRED OR SPECIAL POSITION REQUIREMENTS

• SQL, MS Excel/PowerPoint, Python, R
• Experience building statistical models
• Must be able to see the “big picture” and be able to relate findings across various analyses.
• Strong sense of curiosity and storytelling.
• Strong attention to detail.

Full details on their website

The post Ulta Beauty – DATA ANALYST – MARKETING ANALYTICS AND CUSTOMER INSIGHTS – Chicago appeared first on ProgrammingR.

Data Science at BlackRock:

In February 2018, BlackRock announced the creation of a new central Data Science team in order to accelerate innovation and technology in artificial intelligence, and to have firm-wide impact using data science to solve strategic problems. The team is led by two experienced data science leaders, Dr. Sherry Marcus and Dr. Rachel Schutt.

BlackRock manages $6.2+ trillion in assets on behalf of investors worldwide. As such, there is a rich problem space for data scientists and engineers across all areas of the business including investments, sales, marketing, operations, product, UX, etc. and the potential to have large scale impact.

The kinds of problems you’d be working on:

• Building a dynamic pricing and auto-bidding engine for the security lending business
• Alpha generation: extracting signals from alternative data sets that provide investment opportunities to investors.
• Predictive models in sales and marketing applications in order to anticipate client behavior and needs.
• Natural language processing in order to extract and correlate n-grams from unstructured text including from financial reports, news, and contracts in order to drive contextual understanding in different business applications across the firm.
• Speech-to-text analysis
• Graph Analysis for path generation for data lineage/provenance, ontological development, or network analytics.
• Automating repeatable tasks done by humans to free them up to work on the tasks that require their human intelligence
• The firm-wide policy on algorithmic accountability and ethics of data science

The team you’d be part of:

In the first year, the team will grow to 20 data scientists and data engineers. The team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project /product management and strategy.  We work with data from a wide variety of sources including text, news feeds, financial reports, time series transactions, user behavior logs, imagery, and real-time data.

We will be hiring a mix of tech leads and individual contributors with deep expertise in certain areas, as well as generalists. All individuals will be expected to have solid statistical/mathematical, and/or algorithmic/computational foundation and writing code is required. Each individual will be expected to contribute and lead based on their experience and expertise.

As this is a new team, we will be in start-up mode, so you would be helping to build and shape the team and culture from the ground up. You should therefore be comfortable with ambiguity and willing to be pro-active in your contributions, and evolve as the team grows.

We are looking for candidates with unique backgrounds and diverse skillsets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock. Data Science Core aims to bring best of class technologies, analytics, and insights to the entirety of the firm and to our clients utilizing data from a wide variety of sources including text, news feeds, financial reports, time series transactions, logs, imagery, and real-time data.

Position Details on their website.

The post BlackRock – Data Scientist / Data Science Core – NYC appeared first on ProgrammingR.

In this role, candidate will work with a multidisciplinary team to design, develop & create analytical solutions through applications of Data Mining, Machine Learning and Artificial Intelligence. The ideal candidate will increase the maturity of the group’s current analytical capabilities by progressing from traditional Predictive Modeling to true machine intelligence, and take advantage of emerging technologies around Data Science and AI. Candidate will be expected to be hands on as well as guide and mentor new modelers in the team.

Minimum Qualifications

PhD STEM (Science, Technology, Engineering, Mathematics) degree with 1 years experience or Masters STEM degree with 4 years experience or Bachelor’s STEM degree with 6 yrs required. Moderate working knowledge of modeling/research/analytics or actuarial required. Relevant statistical analysis work experience required.

Primary Job Duties & Responsibilities

• Understand business needs and apply Data Science/AI/Machine Learning technology to solve real-world business problems
• Ability to build and optimize models using machine learning techniques including feature selection & engineering, boosting, deep learning and ensembles
• Address pain points of the business and provide additional insights across domains like Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning, and/or statistical modeling.
• As a technical lead candidate will be working with various team members such as data engineers, data scientists, statisticians, actuaries and with application developers
• Analyze source data, working with structured and unstructured data
• Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends
• Extend company’s data with third party sources of information when needed
• May manage one or more advanced research projects simultaneously
• Understands business needs and applies AI/Machine Learning technology to solve real-world problems
• Present analysis and recommendations to target audience

More details on their website.

The post Travelers – Data Scientist- (Machine Learning & Artificial Intelligence) – Hartford, CT appeared first on ProgrammingR.

Job Description

The Data Analyst is responsible for designing, creating and delivering advanced analytics, and data visualization to both internal and external customers. This position will work on medium and long-term analytics projects directly with internal SG customers, as well as external casino customers.  This position will focus on improving game performance through the use of predictive and exploratory modeling.  This position will also gather, clean and review data, create and maintain data dictionaries, generate reports, and distribute regular executive dashboards and sales enablement tools as well as exploratory data visualization.

Job Requirements

• Bachelor’s degree in Business, Business Analytics, Economics, Statistics, Mathematics, or related field plus 2-3 years of working experience
• OR Master’s degree Business, Business Analytics, Economics, Statistics, Mathematics, or related field plus 1-2 years working experience.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Experience with one or more statistical languages and software (SAS, R, SPSS, Stata, Matlab, Python, Alteryx, Microstrategy, SQL)
• Experience with Tableau data visualization software.

More details on their website.

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