Data Scientist

Local Jobs Booz Allen Hamilton in Data Scientist
  • United States, Beavercreek, OH View on Map
  • Post Date : October 16, 2020
  • Apply Before : November 15, 2020
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Job Description

The Challenge:

Does exploring and unlocking the secrets hiding within data sets excite you? Are you intrigued by the possibilities presented by advances in machine learning, artificial intelligence, or IoT? In an increasingly connected world, massive amounts of structured and unstructured data create new opportunities to discover, generate, and reveal knowledge. As a data scientist, you can turn these complex data sets into useful information to solve global challenges across the private and public sectors — from fraud detection, to cancer research, to national intelligence — the answers are in the data.

We have an opportunity for you to use your analytical skills to support our DoD clients. You’ll work closely with our customers to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll write scripts, build predictive analytics, use automation, develop workflows, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide our customers with a deeper understanding of their data, what it all means, and how they can use it. Join us as we use data science as a tool to improve national security.

Empower change with us.


You Have:
  • Experience with one or more programming languages, including JavaScript, Python, or R developing scripts for knowledge capture, hypothesis testing, visualization, and process automation
  • Experience with spatial analysis tools and concepts, data mining methods, database structures, and analytic information extraction and visualization
  • Experience with modeling software for processes, repeatability, efficiency, knowledge capture, hypothesis testing, visualization, and process automation
  • Experience with programmatically connecting to database and web-based data sources
  • Experience with applied data processing and scientific analysis of large datasets and machine learning
  • TS/SCI clearance
  • BA or BS degree

Nice If You Have:
  • Experience with multiple programming languages, including R, Python, Pig, Java, JavaScript, or SQL
  • Experience with running command line operations in Windows or Linux
  • Experience with visualization tools, including ggplot, Plotly, matplotlib, D3, Tableau, or bokeh
  • Experience with databases and web data sources
  • Experience with computational analytics modeling
  • Experience with cloud-based technologies
  • Experience with intelligence, defense, international relations, or public administrating multi-disciplines
  • TS/SCI clearance with a polygraph
  • MA or MS degree


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.


Build Your Career:

At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:

  • access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
  • change the world with the Data Science Bowl—the world’s premier data science for social good competition
  • participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government

You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.

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Data Scientist

Local Jobs Apple in Data Scientist
  • United States, Santa Clara Valley, CA 95014 View on Map
  • Post Date : October 14, 2020
  • Apply Before : November 13, 2020
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Job Description

Summary

Posted: Oct 9, 2020
Weekly Hours: 40
Role Number:200197391
At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.
Marcom is Apple’s Global Marketing Communications group. We oversee all of Apple’s advertising and marketing to ensure the flawless development and execution of world-class communications.
Do you love problem solving and thinking beyond an obvious solution? Do you thrive in ambiguity and teams where little direction should fuel your creativity? We are looking for a Data Scientist to lead Analytics & Optimizations on the Marcom Analytics Team. We are looking for a self-starter with web analytics and marketing science experience with a wide range of technical skills.
Key Qualifications
  • Strong communicator with excellent verbal and written presentation skills – able to evangelize data informed decision-making at all levels.
  • 5+years of experience developing analytical dashboards, measuring impact of online site changes and its impact on traffic, engagement and revenue.
  • In-depth knowledge of digital analytics data, measurement, methodologies and industry standards.
  • Strong sense of design and presentations skills
  • Self-starter can take a project from start to finish with minimal supervision
  • Flexibility to deal with rapidly changing, time-constrained launch schedules.
  • Able to balance multiple projects and assignments.
  • Highly detail-oriented, organized, and patient.
  • Strong working knowledge of SQL, Teradata preferred
  • Expertise in Tableau and similar Data Visualization tools
  • Strong working knowledge of process automation using a scripting language
  • Solid understanding of fundamental statistical concepts and measurement methodologies
  • Experience in working across different global cultures a plus.
Description
Apple Marcom is seeking a Data Scientist to design, engineer, develop analytical dashboards and solutions that have direct and measurable impact to www.apple.com as well as Apple’s digital media and social media campaigns.
This person will be a member of the Marcom Analytics Team and be responsible for providing critical analysis/ insights to help inform and optimize digital strategy for Apple’s digital communication. The person hired for this role will be responsible for creation and delivery of ad hoc analyses, user dashboards and other self-serve analytics resources for the worldwide teams.
The right candidate will need to have an understanding of digital analytics, as well as creative best practices for campaign effectiveness and content nuances by platform (online, video, social, paid search, in app, etc) in order to help drive strategy and measure success.
To be successful in this position candidate should be a self-starter, driven, accountable and passionate about data. Most importantly, be curious, ready to learn and evolve and able to develop strategic partnerships across both the Data Science and many business stakeholders across Apple.
Education & Experience
BS or equivalent Degree – Marketing, Finance, Business Analytics, or related fields. Master’s degree in Business Administration or Marketing Science is desirable.

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Data Scientist

Local Jobs Amazon.com Services LLC in Data Scientist
  • United States, Seattle, WA View on Map
  • Post Date : October 4, 2020
  • Apply Before : November 3, 2020
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Job Description

  • Bachelor’s Degree
  • 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
  • 2 years working as a Data Scientist
  • 7+ years of prior work experience in an analytics or data science role
  • Knowledge of Data Science tools such as STAT, SPSS, R etc
  • Bachelor’s Degree or equivalent work experience
  • Familiar with SQL/ Python scripting. Does not need to be an expert.
  • Experience developing requirements and formulating business metrics for reporting

Are you passionate about working with data, driven to dive deep, and eager to make broad business impact? Amazon is looking for a talented, customer-focused lead to conduct market research on senior specialized talent and industry trends.
The Science and Design Leadership Recruiting and Academic Partnership (SDLAP) team focuses on building top specialized talent communities in Design and Applied Research, including Machine Learning (ML), Computer Vision, Speech Recognition/Natural Language Processing, Optimization, Economics, Sustainability, Hardware, Data Science and Robotics globally at Amazon. We build teams in emerging fields and recruit senior Design and Science leaders. As a core talent function, we also develop Amazon’s presence at key gatherings, drive academic relations and facilitate internal community efforts. Our efforts support Amazon’s development of new businesses, such as Alexa and Amazon Go while ensuring state-of-the-art research and design are at the forefront of Amazon’s more mature organizations.

We are seeking a Data Scientist in our Market Intelligence team who will be analytical and possess a strong passion for developing insights, setting up analysis, and providing mission critical information that drives a dynamic and fast-growing business. To accomplish this, you will have the ability to think strategically, act tactically, write effectively and display strong analytical and critical thinking skills. You will also have excellent business acumen and communication skills in order to be able to work with key stakeholders to develop and define key business questions, work with teams to set up the right data structure and collect information, and design the analysis model that answers these questions.
Core Responsibilities:

  • Lead special research projects/recruiting initiatives
  • Contribute to a global talent mapping strategy and direction
  • Maintain scrutiny upon marketplace trends and competitive opportunities
  • Partner with Recruiters to build effective passive candidate sourcing strategies
  • Manage expectations by articulating in writing a plan with deliverables, timelines, and a formal tracking process
  • Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
  • Ability to prioritize assignments to complete work in a timely manner and deliver results in a fast paced environment
  • Perform effectively under conditions of fluctuating workload
  • Ability to work independently and follow through on assignments with minimal direction; take action when answers to a problem are not readily apparent

  • Executive recruiting or passive talent mapping experience
  • Experience building data visualization tools
  • Experience with product development and working with distributed systems will be an added advantage.

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Data Scientist

Local Jobs R1 RCM Inc. in Data Scientist
  • United States, Chicago, IL View on Map
  • Post Date : October 4, 2020
  • Apply Before : November 3, 2020
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Job Description

R1 is a leading provider of revenue cycle management services and Physician Advisory Services to healthcare providers. We are the largest independent end-to-end revenue cycle provider and have the longest operating history in the revenue cycle industry. R1’s objective is to be the one trusted partner to manage revenue so providers and patients can focus on what matters most. Our distinctive operating model and values includes people, processes, and sophisticated integrated technology/analytics that help customers realize sustainable improvements in their operating margins and improve the satisfaction of their patients, physicians, and staff. We are dedicated to transforming the commercial infrastructure and patient experience in healthcare.

R1 has recently launched a Digital Transformation Office (DTO) focused on applying the optimal technical lever to drive step-wise change in how we deliver services to our clients. The Data Scientist will support the development and delivery of machine learning-based solutions to further this goal. A successful candidate must have demonstrated prior success in implementing machine-learning approaches to solve real-world business problems and driving meaningful business value.


Responsibilities:

  • Architect, document, develop and code in Python, SQL, T-SQL etc. to implement data science/machine learning algorithms & solutions.
  • Implement and maintain batch process, applications and API
  • Interact with the subject matter experts to deduce requirements, data specific knowledge and validation of proposed solutions to enhance and improvement existing or future development
  • Use knowledge of Python for implementing Python based workflow solutions such as Airflow or MLflow
  • Use knowledge of Python to implement various APIs to make machine learning models available to end user applications
  • Communicate complex machine learning ideas, designs, and processes to both technical and non-technical stakeholders.
  • Perform analysis on existing data and suggest new potential data set to identify and develop innovative advanced analytics opportunities
  • Architect, document, develop, code, and test data science modules into scalable solutions in a big data environment.


Required Qualifications:

  • Bachelor’s degree in Computer Science, Math, Statistics, Engineering, or other related technical field (or equivalent experience)
  • Two to Five (2-5) years of professional experience.
  • At least two (2) years of experience in data science, data engineering, machine learning, and API-based solution architecture.
  • At least two (2) years of hands-on experience in architecting, developing and implementing advanced analytics models and machine learning algorithms for scalable production environments.
  • Experience with data science libraries such as NumPy, SciPy, Pandas, Scikit-Learn, MLlib etc.
  • Experience in implementing and optimizing deep learning models using frameworks such as Tensorflow, Pytorch etc.
  • Demonstrated track record of leading the delivery of successful and innovative machine learning products, working independently and with key stakeholders
  • Expert level understanding of core ML/Statistics/CS principles
  • Strong programming skills in statistical languages (preferably Python) and querying languages (e.g. SQL)
  • Hands-on knowledge of object oriented programming concepts.
  • Knowledge of NLP concepts, libraries & toolkits such as NLTK, SpaCy, Apache OpenNLP etc.
  • Knowledge of modern data integration approaches such as Application Programing Interfaces (APIs) and Microservices
  • Working knowledge of version control system such as Git, SVN etc.
  • Strong communication skills to own and share strategy, findings and key results across both technical and business stakeholders


Desired Qualifications:

  • Master’s degree in Computer Science, Math, Statistics, Engineering, or other related technical field (or equivalent experience)
  • Experience with healthcare and/or revenue cycle management applications
  • Knowledge of the healthcare data and integration standards (e.g. EDI, FHIR, HL7)

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Data Scientist

Local Jobs Apple in Data Scientist
  • United States, Austin, TX View on Map
  • Post Date : October 4, 2020
  • Apply Before : November 3, 2020
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Job Description

Summary

Posted: Oct 2, 2020
Weekly Hours: 40
Role Number:200190122
Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.
Apple’s Strategic Data Solutions (SDS) team is looking for a talented individual who is passionate about crafting, implementing, and operating analytical solutions that have direct and measurable impact to Apple and its customers.
As an SDS data scientist, you will employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services.
Apple’s dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, you will push the limits of existing data science methods while delivering tangible business value.
Key Qualifications
  • Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
  • Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
  • Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java
  • Ability to comprehend and debug complex systems integrations spanning toolchains and teams
  • Ability to extract meaningful business insights from data and identify the stories behind the patterns
  • Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
  • Creativity to engineer novel features and signals, and to push beyond current tools and approaches
Description
• Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions
• Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem
• Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions
• Ensure operational and business metric health by monitoring production decision points
• Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
• Communicate results of analyses to business partners and executives
• Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
Education & Experience
• Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or
• Ph.D. in Math, Engineering, Economics, or hard science with data science fellowship; or
• M.S. in related field with 3+ years experience applying data science to real business problems

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Data Scientist

Local Jobs Amrock in Data Scientist
  • United States, Detroit, MI 48226 View on Map
  • Post Date : October 2, 2020
  • Apply Before : November 1, 2020
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Job Description

Minimum Qualifications

  • Master’s degree in mathematics, statistics, computer science, or a related field or equivalent experience


Preferred Qualifications

  • 3 years of experience working with large data sets
  • 3 years of experience with statistical and data mining tools and methods
  • 3 years of experience with statistical packages, such as R or SAS
  • 3 years of experience working with big data in a Hadoop environment
  • 3 years of experience with linear models (linear regression, generalized linear regression, logistic regression) and non-linear modeling techniques (decision trees, smoothing methods, ensemble methods)
  • 3 years of experience providing predictive and prescriptive analytics in a business setting
  • 3 years of experience working with SQL or other query languages
  • Ph.D. in mathematics, statistics, computer science or a related field required, or equivalent experience
  • Proficiency in the Microsoft Office suite
  • Knowledge of SQL
  • Fluency in at least one scripting language
  • Knowledge of statistical methodologies for modeling and business analytics
  • Knowledge using analysis tools (e.g., R, SAS, Weka)
  • Knowledge of data visualization tools


Job Summary

The Data Scientist is responsible for performing data mining, predictive modeling and forecasting to provide actionable insights and strategic direction for business leaders.

The Data Scientist delves into the recesses of large data sets of structured, semistructured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business.


Responsibilities

  • Develop predictive and prescriptive statistical or behavioral models from large sets of structured and unstructured data
  • Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models
  • Communicate results to clients, team members and business leaders
  • Collect data for ad hoc and statistical analysis
  • Own the of deployment of applicable models for business projects
  • Communicate complex analyses, conclusions and solutions clearly to all audiences
  • Work with project managers to develop detailed project timelines


Disclaimer

This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group.

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Data Scientist

Local Jobs Intel in Data Scientist
  • United States, Phoenix, AZ 85018 View on Map
  • Post Date : October 2, 2020
  • Apply Before : November 1, 2020
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Job Description

Job Description

The Data Scientist will be responsible for but not limited to:

  • Uses predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structure and unstructured data.
  • Develops software, algorithms and applications to apply mathematics to data, performs large scale experimentation and builds data driven apps to translate data into intelligence, solves a variety of business problems and enables business strategy.
  • Assists business with casual inferences and observations with finding patterns , relationships in data.
  • Possess understanding of internal business segment (stakeholders) and possess written and communication skills.


Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Qualifications listed as preferred or additional will be considered a plus factor for applicants.


Minimum Qualifications:

  • Candidate must be pursuing a Master’s Degree in Data Analytics, Industrial Engineering, Machine Learning, Operation Research, Statistics, Mathematics, Supply Chain Engineering, Information Systems, or Computer Science and expect the required degree by December of 2020.
  • Minimum of 3 months of experience in JMP, OPL, and Simulation tools, MatLab, SQL, etc.
  • Minimum of 3 months of experience in rapid application development and integration.
  • Minimum of 3 months of experience of software development, debugging performance characterization & optimization skills.
  • This U.S. position is open to U.S. Workers Only. A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position. (This paragraph is optional; we will need to include it if you are not willing to sponsor a candidate with a visa. Please double check if we should include it or not.)


Preferred qualifications:

  • Typically requires expertise in relational database structures, research methods, machine learning, Cloud based technologies, Big Data technologies i.e.
  • Hadoop , HBase, Lucene/Solr, analytics packages i.e. R, Mahout, Octave, Weka.
  • Scripting languages i.e. Python, Perl, R.
  • Programming languages i.e. Java, C/C++, SQL.


Inside this Business Group

As the world’s largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art – from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth


Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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Data Scientist

Local Jobs Booz Allen Hamilton in Data Scientist
  • United States, McLean, VA 22102 View on Map
  • Post Date : September 26, 2020
  • Apply Before : October 26, 2020
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Job Description

The Challenge:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.

We have an opportunity for you to use your analytical skills to improve the Intelligence Community. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the Intelligence Community.

Empower change with us.


You Have:

  • 3+ years of experience in a data science or analytics field
  • Experience in working with machine learning, data mining, statistics, and algorithms
  • Experience with the analysis of data and creation of data-driven visualizations
  • Ability to create reports and present findings based on statistical analysis
  • Ability to develop persistent monitoring applications for statistical or machine learning processes using SQL, R, Python, SAS, or SPSS
  • TS/SCI clearance with a polygraph
  • BA or BS degree


Nice If You Have:

  • Experience with Tableau and SQL
  • Business Analytics, Data Mining, or Statistical Analysis Certification
  • Tableau Certification


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required


Build Your Career:

At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:

  • access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
  • change the world with the Data Science Bowl—the world’s premier data science for social good competition
  • participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government

You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.

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Data Scientist

Local Jobs Oracle in Data Scientist
  • United States, United States View on Map
  • Post Date : September 24, 2020
  • Apply Before : October 24, 2020
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Job Description

Data Scientist-20000RVV

No Visa Sponsorship is available for this position.


Applicants are required to read, write, and speak the following languages
: English


Preferred Qualifications


Data Scientist

Team Description

The Advanced Data Services team is a group of highly skilled Cloud Architects and Data Scientists who will work with our customers to develop modern data architectures and develop big data and data science solutions. This team’s goal is to help accelerate our customer’s journey to the cloud by moving and improving their existing Hadoop installations, modernizing their data lakes with emerging and proven industry trends, and enabling them to adopt the best solutions to advance data insights through data science and advanced analytics. The team consists of experts who can identify, evangelize, architect, pilot, and implement solutions to accelerate business benefits realization to our customers.

Job Description

We are seeking data scientists with a strong track record of developing models and building analytical and machine learning solutions for big data analytics to join our Cloud Engineering team to providing expertise in Advanced Analytics and Data Science across all industry sectors.

This role requires the cloud engineers to be deeply technical and hands-on, and work closely with our sales teams and customers to help them adopt Data Science Cloud Solutions. The successful candidate must have a good understanding of the value of data lifecycle (ingest, transform, curate, analyze, and predict), as well as, proven experience delivering data science/ML solutions to executive-level business and technical leadership.

Data Scientists must have a solid understanding of tools and languages such as Python, R, along with the overall data platform at an enterprise level with big data, data lakes, analytics, and data science and the value of those solutions to the business. Data Scientists will engage with customers to discover business problems and goals, ad develop solutions using Oracle Cloud services. Work collaboratively with the customer to document the current state architecture, design the future state, and develop a path for cloud digital transformation trough data science.

We are looking for team members who can develop and deliver high-quality presentations, demonstrations, and solutions to multiple lines of business and management levels, which clearly articulate the value of Data Science and Oracle Data cloud services and solutions.

Experience in BigData/Analytics/Data science tools and a good understanding of the leading products in the industry are required along with passion, curiosity, technical depth, and exceptional communication/presentation skills.

Responsibilities

  • As a specialist, provide technical proof points or drive proof of value to the customer with Oracle Cloud Solutions.
  • Maintain mastery of the Oracle portfolio and intimate knowledge of industry trends, multidiscipline design patterns, development/deployment methodologies, and competitive cloud offerings while evangelizing solutions.
  • Be a trusted advisor to the customers. Develop and present business cases, industry trends, competitive differentiators, in alignment with the go-to-market product and solution strategy.
  • Achieve desired results through planning, risk management, stakeholder management, conflict resolution, governance, team management, and ownership of the cloud adoption lifecycle
  • Be agile and maintain a relentless sense of urgency and a realistic view of time (urgent patience) throughout an extended customer engagement.
  • Inspire confidence and quickly establish connection, credibility, trust, and influence with customer executives to developer
  • Exercise creativity, independent judgment, and business acumen in selecting methods and techniques to design non-routine and elegant business solutions utilizing Oracle products and technology to meet customer needs
  • Influence customer strategy, architecture, roadmap, and migration planning workshops spanning business, applications, information, and technology domains
  • Maintain relevant expert-level competency across the data ecosystem – Big Data, Data Lakes, Advanced Analytics, and Data Science.

Desired Qualifications / Skills:

  • 10+ years of total experience in Consulting or Sales/Solution Engineering or with product development.
  • 3-5 years of proven domain knowledge of Data Science and big data ecosystems. Domain knowledge includes Python, R, Scala, Spark, Kafka, Hadoop, AI/ML, NoSQL, Cloud data architecture, etc.
  • Demonstrated ability to own the customer relationship and drive their success in focus areas such as Data Science, Data Lakes & Data Warehouses enablement.
  • Experience enhancing data collection procedures to include information that is relevant for building analytic systems. Processing, cleansing, and verifying the integrity of data used for analysis.
  • Experience in ad-hoc analysis and presenting results in a clear manner. Creating automated anomaly detection systems and tracking its performance
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as Python, R, Scala, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Experience with data visualization tools such as Oracle Analytics Cloud, Qlik, Tableau, D3.js, GGplot2, etc.
  • Proven expertise in creating detailed technical architectures and product solutions for specified needs. Solution sizing/costing and configuration.
  • Expertise in conducting PoCs tailored to customers’ needs and proof points.
  • Expertise in delivering Customer Hands-on Workshops
  • Ability to provide detailed product presentations to educate customers
  • Ability to provide thought leadership on big data solutions that benefit customers through the use of Oracle Cloud Services.
  • Ability to interact with all customer roles such as CIO, CTO, IT Architects, technical staff and business uses.
  • A proven and enthusiastic, high-energy, motivating leader who is visibly passionate and is capable of inspiring and galvanizing people around.
  • A balance of strategic and tactical skills, with a high level of intellectual agility and capacity for original thought.
  • An exceptional communicator who can write, present, and effectively adjust messages to meet individual audiences and organizations.
  • A proven ability to navigate and effectively collaborate with other groups and resources in a large complex environment.
  • A bachelors or masters in mathematics or computer science or related field is required. Ph.D. in a related field is desired.

Direct Recruiter: [email protected]

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, and protected veterans status or any other characteristic protected by law


Detailed Description and Job Requirements

Overlay sales personnel providing specialist product expertise to the sales force.

Partners with Account, Technology, and Application sales representatives to qualify and close new business on Oracle solutions. Provides specific industry or product expertise to facilitate the closing of deals within sales representatives territory. Interacts with sales team to architect the solution, and develop and execute solution strategies for market. Manages solution opportunities to obtain appropriate and necessary resources for all qualified opportunities. Leads teams in the sales process for establishing market visibility and deal visibility. Presents/demonstrates solution to high level clients and industry conference attendees. May provide training to field sales on industry/solutions. Builds and maintains a network and up to date specific industry or product knowledge.

Job duties are varied and complex, needing independent judgment. May have project lead role. 5 years field sales experience. Subject matter expertise in industry/product space. Knowledge of key industry leaders and management. Knowledge of Oracle competition. Presentation and product demonstration experience. Understanding of software and consulting arenas. Excellent communication, negotiating, and closing skills with prospects and customers. Travel may be needed. BA/BS degree in related field.

Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.

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