Senior Data Scientist

Local Jobs Prescient Edge Federal in Data Scientist
  • United States, Fort Meade, MD 20755 View on Map
  • Post Date: July 9, 2020
  • Apply Before : August 8, 2020
  • Share:

Job Description

Job Description:

Prescient Edge is seeking a Senior Data Scientist to support a Federal government client. As a Senior Data Scientist, you will:

  • Deliver products (by uploading documents to USG servers) developed under this PWS and assist in ensuring that they are available to the greater US IC
  • Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis as well as use scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling more informed analytic decisions
  • Proactively retrieve information from various sources, analyze it for better understanding about the data set, and build AI tools that automate certain processes
  • Create various ML-based tools or processes, such as recommendation engines or automated lead scoring systems
  • Perform statistical analysis, apply data mining techniques, and build high quality prediction systems
  • Utilize skills in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms
  • Assist in developing and maintaining a web site that is accessible by all the IC members and the various branches of the Army
  • Perform web-based database design, implementation, and maintenance for the CI Common Operating Picture (COP) and the intelligence web pages
  • Create and develop computer software configuration documentation, user manuals, and provide one-on-one consultation to the branch chiefs and senior analysts IAW CDRL A137
  • Update and maintain the classified intelligence websites on Intelink and Intelink-S and associated systems including posting data, providing information, and responding to documentation for activities such as RFI, Requests for Assistance (RFAs) and Request for Products (RFPs) on a daily basis
  • Assist with monitoring the status of classified requests, such as RFI, RFAs and RFPs, and provide weekly updates
  • Provide dedicated page design, development, and integration of information to web-based presentations for the Army’s Secret Internet Protocol Router Network (SIPRNet) and Joint Worldwide Intelligence Communications System (JWICS) web sites
  • Conduct coordination with internal and external information technology service providers to help maintain and improve the sites

Please note that the availability of this position is contingent upon contract award, which is expected in October 2020.

Benefits

At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone’s success. To that end, we provide employees with a best in class benefits package that includes:

  • A competitive salary with performance bonus opportunities
  • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage
  • A substantial retirement plan with no vesting schedule
  • Career development opportunities, including on-the-job training, tuition reimbursement, and networking
  • A positive work environment where employees are respected, supported, and engaged

Job Requirements:

  • Active TS/SCI security clearance
  • High school diploma with at least 20 years of relevant experience; an associates degree with at least 16 years of relevant experience; a bachelor’s degree with at least 14 years of relevant experience; or a master’s degree with at least 12 years of relevant experience
  • Prior experience with large data Multi-INT analytics, ML, and automated predictive analytics
  • Minimum of 2 years of experience in website coding, basic graphics techniques, Structured Query Language (SQL), Hypertext Markup Language (HTML), Extensible Markup Language (XML), Java, Java Applets, and JavaScript
  • Security Plus certification
  • Qualified at Information Assurance Technical Workforce Requirement Level II as defined in DoD 8570.01-M, Table C3.T1
  • Demonstrates in-depth knowledge and understanding of the labor category activities required to meet mission requirements
  • Demonstrates mastery of qualitative and quantitative analytic methodologies and the ability to pursue developments in academia or other fields that affect tradecraft methodology
  • Demonstrated ability to define comprehensive, new, or unique research approaches that enable rigorous assessments to address and contribute to high-level tasks
  • Demonstrated ability to conduct in-depth analysis of analytic operations and knowledge management issues across organizational and intra-IC boundaries and clearly articulate key findings
  • Demonstrated ability to work independently and with minimal oversight
  • Demonstrated ability to review analytic products for cogent arguments, tradecraft standards, and adequate support for conclusions
  • Ability to routinely test analytic rigor of analytic products
  • Demonstrated working knowledge of the concepts involved in the specific functions outlined in the job description
  • Knowledge of and demonstrated ability to apply Intelligence Community (IC) and DoD classification guidelines and procedures
  • Demonstrated ability to work semi-independently with oversight and direction
  • Demonstrated ability to use logic when evaluating and synthesizing multiple sources of information
  • Demonstrated understanding of interpreting analysis to include, but not limited to, its meaning, importance, and implications
  • Demonstrated ability to defend analytic judgements with sound, logical conclusions and adapt analytic judgments when presented with new information, evolving conditions, or unexpected developments
  • Demonstrated ability to produce timely, logical, and concise analytic reports, documents, assessments, studies, and briefing materials in various formats, including Microsoft Office tools (e.g., Excel, Word, PowerPoint, etc.), electronic/soft copy matrices and/or web-enabled formats
  • Demonstrated ability to communicate complex issues clearly in a concise and organized manner both verbally and non-verbally
  • Strong grammar skills
  • Demonstrated proficiency using Microsoft Office tools
  • Demonstrated ability to develop structured research including, but not limited to, obtaining, evaluating, organizing, and maintaining information within security and data protocols
  • Demonstrated ability to recognize nuances and resolve contradictions and inconsistencies in information
  • Demonstrated working knowledge of complex analytic methodologies, such as structured analytic techniques or alternative approaches, to examine biases, assumptions, and theories to eliminate uncertainty, strengthen analytic arguments, and mitigate surprise. Structured analytic techniques include, but not limited to, analysis of competing hypotheses, devil’s advocacy, high-impact/low-impact analysis, red team analysis, and alternative futures analysis
  • Demonstrated understanding of intelligence collection capabilities and limitations, to include but not limited to, technical sensors/platforms and human intelligence sources related to the job description
  • Demonstrated understanding of evaluating collected intelligence reporting, engaging with collection managers, and developing collection requirements
  • Demonstrated comprehensive mission knowledge and skills that affirms completion of all developmental training and experiences for the position
  • Demonstrated ability to communicate understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, and/or technically advanced
  • Demonstrated ability to structure analysis based on trends in reporting and a range of analytic perspectives from other analysts, organizations, and intelligence disciplines
  • Demonstrated ability to work independently with minimal oversight and direction
  • Demonstrated ability to collaborate and work with other intelligence community members on information sharing, driving collection, and addressing analytic disputes and conflict resolution
  • Demonstrated ability to develop concise, insightful, and comprehensive products for defense intelligence
  • Demonstrated ability to lead teams in researching multifaceted or critical problems
  • Ability to provide guidance in selecting, designing, and applying analytic methodologies
  • Ability to use argument evaluation and validated analytic methodologies to challenge differing perspectives

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Senior Data Scientist

Local Jobs Twitter in Data Scientist
  • United States, United States View on Map
  • Post Date: June 18, 2020
  • Apply Before : July 18, 2020
  • Share:

Job Description

By applying for this role, you could choose to work in the following locations:
US – Remote US

San Francisco

Who we are:

Twitter is looking for a data scientist to join the Capacity Engineering team.

You will work with a team of software engineers and data scientists to build a new capacity management platform to predict demand, track supply, prioritize allocation, and examine utilization across a fleet of hundreds of thousands of physical servers in our private cloud and an expanding footprint in public cloud. You’ll build data pipelines and visualizations to help Engineering understand their capacity usage and plan their future capacity needs. You’ll build prediction models for short and long-term demand projections to drive the necessary supply. Collaborating with business leaders, Finance, and Engineering you’ll deliver deep insights into how budgets are spent and capacity utilized to understand the return on investments. You’ll provide Finance and Supply actionable recommendations about trends to inform long term strategic planning for the business.


What you’ll do:

  • Build and manage data pipelines to track supply, demand, and utilization across a large cloud platform.
  • Build appropriately complex models for capacity demand on timescales ranging from days to years using historical data, explicit manual input, key traffic drivers, seasonal trends, and special events.
  • Build systems to continuously update the capacity demand plan as new information is ingested.
  • Determine appropriate capacity headroom sizing to mitigate demand and supply variance.
  • Work with UI engineers to provide reports and dashboards to inform stakeholders of key performance metrics.
  • Work with UI engineers to design clear, simple data visualizations and intuitive interfaces to support ad-hoc drill downs into large datasets.
  • Prepare and deliver regular capacity analysis, commentary, and recommendations to Supply and Finance on long-term trends to inform infrastructure strategy and company budgets.
  • Influence technology choices for data analysis tools.


Who you are:

  • You’re passionate to work on large datasets to generate knowledge on behaviors and trends and have a diverse interest and skill set covering data analysis, statistical modeling, machine learning, and visualization.
  • You excel at communicating complex insights to both technical and non-technical stakeholders.
  • Expertise in time series analysis applied to forecasting is especially desirable.
  • Experience with capacity planning and/or supply chain management is beneficial but not required.


Requirements:

  • 2+ years of industry experience involving quantitative data analysis to solve real-world problems.
  • BS or higher degree in Data Science, Statistics, Applied Math, Operations Research, or a related field.
  • Experience with scripting languages (Python preferred), SQL, and a shell.
  • Experience with big data analytics tools/libraries such as Spark or Scalding

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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VIEW COURSE


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VIEW BOOK


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Is it possible to take advantage of the benefits of data collection–and mitigate risks–for both companies and customers?

Most consumers are not very skilled at evaluating privacy risks; they’re either unable to determine the cost of sharing personal data online or unaware of what they’re sharing. (Doesn’t everyone scroll down without reading to click “I accept”?) Without much intervention from most federal or state-level governments, companies are on their own to define what qualifies as reasonable use. In today’s digital surveillance economy, there are no clear-cut best practices or guidelines. Gathering and using information can help customers–we see that in personalization and autofill of online forms. But companies must act in the best interest of their customers and treat the sensitive information users give them with the ethical care of doctors, lawyers, and financial advisers. The challenges of operating in a digital ecosystem aren’t going away. Customer Data and Privacy: The Insights You Need from Harvard Business Review will help you understand the tangled interdependencies and complexities and develop strategies that allow your company to be good stewards, collecting, using, and storing customer data responsibly.

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Senior Data Scientist

Local Jobs Electronic Arts in Data Scientist
  • United States, Redwood City, CA 94065 View on Map
  • Post Date: June 12, 2020
  • Apply Before : July 12, 2020
  • Share:

Job Description

We are EA

And we make games – how cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is challenging work. That’s why we employ the most creative, passionate people in the industry.

About the Role

This Senior Data Scientist is an important position in our Data Science team within the EA Studios organization at Electronic Arts, tasked with driving excellence and pushing innovation across EA. You will use your expertise in applied machine learning and artificial intelligence to guide essential decisions in a cross-functional environment. Our lead data scientist will directly help our games by developing complex and scalable data products.

We are looking for a team player who is able to work collaboratively within different game studios. You are eager to use data for insights and have a demonstrated passion for applying data science to make business critical decisions and recommendations. You desire to stay on the cutting edge, going out of their way to find and learn the “latest and greatest”.

Come use your data superpowers for good and join us!

Responsibilities

Develop meaningful relationships with partners throughout the studio organization to identify new opportunities for the team, both in addressing partners’ different pain points and proposing machine-learning-aided innovations to player experience. Research and build impactful data products that improve player experiences, driving them from conception, to experimentation, to productionization in-game. Contribute to the architecture and development of model deployment platforms, in particular providing guidance on automated model re-training, online training, scalability, failure recovery, updates with minimal downtime, model/pipeline versioning, performance monitoring. Stay up-to-date on latest developments in machine learning best practices, technologies, and research so as to expand the range of opportunities the team can handle.

Technical Qualifications

A PhD/MS in Computer Science, Artificial Intelligence, Statistics, Physics or related quantitative field 4+ years of experience applying data science/machine learning/deep learning methodologies to real-world problems Expertise in analyzing extremely large, complex, multi-dimensional data sets with a variety of tools, including Python, SQL, and Spark. Experience with big data technologies, distributed data query and computing engine. Familiarity with at least one scripting language: R, Python, or Scala Experience deploying machine learning systems using AWS, GCP, Virtual Machines, or Docker. Experience developing customizable, modular, and scalable deep learning algorithms in Keras/Pytorch/Tensorflow Research and design creative approaches to ambiguous problems, aiding in the implementation and scaling of these cutting edge systems Good tracking record on collaborating with business and engineering team on long-term projects, pushing excellence in the rest of the data science organization Have good understandings of statistical theory, distributions, experimental design, multivariable calculus, linear algebra, and how computational algorithms work

Skills required:
Hypothesis driven – uses data to test ideas rigorously and objectively Willing to teach and mentor colleagues Eager to stay on the cutting edge of methodologies and technologies

Data Science Courses

Data Scientist Masters Program

Data Scientist Masters Program

Data Science Masters Program makes you proficient in tools and systems used by Data Science Professionals. It includes training on Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow and Tableau. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.

VIEW COURSE


Data Science for Everyone

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What is data science, why is it so popular, and why did the Harvard Business Review hail it as the “sexiest job of the 21st century”? In this non-technical course, you’ll be introduced to everything you were ever too afraid to ask about this fast-growing and exciting field, without needing to write a single line of code. Through hands-on exercises, you’ll learn about the different data scientist roles, foundational topics like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data. So don’t be put off by the buzzwords. Start learning, gain skills in this hugely in-demand field, and discover why data science is for everyone!

VIEW COURSE


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VIEW COURSE


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Cloud Computing Architecture: Technologies and Practice (Advances in Computer Science)

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The book begins by establishing the concept of cloud computing and describing the technological trends, and then discusses cloud computing architecture connotation and key technologies such as computing, storage, network, data, management, access, and security. With abundant project experiences and applications, the book is an essential reference for researchers and industrial engineers in computer science and information management.ed manner

VIEW BOOK


Big Data on Campus: Data Analytics and Decision Making in Higher Education

Big Data on Campus: Data Analytics and Decision Making in Higher Education

The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound decisions. In Big Data on Campus, leading data analytics experts and higher ed leaders show the role that analytics can play in the better administration of colleges and universities.

VIEW BOOK


Big Data with Hadoop MapReduce: A Classroom Approach

Big Data with Hadoop MapReduce: A Classroom Approach

The authors of Big Data with Hadoop MapReduce: A Classroom Approach have framed the book to facilitate understanding big data and MapReduce by visualizing the basic terminologies and concepts. They employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node installation on physical/virtual machines.

VIEW BOOK


Customer Data and Privacy: The Insights You Need from Harvard Business Review (HBR Insights Series)

Customer Data and Privacy: The Insights You Need from Harvard Business Review (HBR Insights Series)

Is it possible to take advantage of the benefits of data collection–and mitigate risks–for both companies and customers?

Most consumers are not very skilled at evaluating privacy risks; they’re either unable to determine the cost of sharing personal data online or unaware of what they’re sharing. (Doesn’t everyone scroll down without reading to click “I accept”?) Without much intervention from most federal or state-level governments, companies are on their own to define what qualifies as reasonable use. In today’s digital surveillance economy, there are no clear-cut best practices or guidelines. Gathering and using information can help customers–we see that in personalization and autofill of online forms. But companies must act in the best interest of their customers and treat the sensitive information users give them with the ethical care of doctors, lawyers, and financial advisers. The challenges of operating in a digital ecosystem aren’t going away. Customer Data and Privacy: The Insights You Need from Harvard Business Review will help you understand the tangled interdependencies and complexities and develop strategies that allow your company to be good stewards, collecting, using, and storing customer data responsibly.

VIEW BOOK


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