Job Details – this job has expired, please see similar jobs below
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Duties and tasks are standard with some variation. Completes own role largely independently within defined policies and procedures. 2 years relevant experience and BA/BS degree preferred.
Company 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.
The Company Cloud Infrastructure (OCI) team provides you opportunity to build and operate a suite of massive scale cloud services in a integrated while distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world’s biggest challenges.
We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impact designing and building innovative new systems to power our customer’s business critical applications.
At Company, we don’t just value differences—we celebrate them. We’re committed to creating a workplace where all kinds of people work together. We believe innovation starts with diversity and inclusion.
Do you envision that a program has intelligence to solve new problems on its own? Are you passionate about leveraging data to drive decisions? Do you love to find patterns in large data sets, real time or offline? If yes, then this is the right opportunity for you to apply your skills to problem areas that directly impact revenue and growth. At OCI, we enable business decisions through data. Data Scientists work across the organization to help shape OCI's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for OCI and our customers to operate more efficiently, from enhancing demand forecast to inventory optimization to reducing customer churn. You work with Engineers, Product Managers, Operations and Sales teams to influence business decisions based on your findings.
As a member of the OCI DataStore team, you will apply operations research and statistical methods to solve challenges related to customer retention/churn, customer growth, compute, storage, network, and datacenter capacity for both Company's internal services and Company Cloud. You will be responsible for identification of training data sets; building, training, evaluating and selecting models; and delivering results to the business. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and enabling key business decisions that directly impact customers, revenue and costs.
You are an expert in data science, machine learning and statistics. You will translate business needs into advanced predictive analytics using machine learning models. You will deliver a ML project from start to end, including understanding the business need, aggregating & exploring data, building & validating predictive models, deploying and consuming completed models to deliver measurable business impact to the organization. You will develop code, algorithms and automated processes to cleanse, integrate, evaluate large datasets, build and deploy models . You are a self-motivated technical leader who can deal with complex problems without supervision.
Bachelor’s or Master’s degree in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics
Good foundation understanding of data mining, machine learning and data sciences
8+ years' of experience with data querying languages (e.g. SQL, No SQL), scripting languages (e.g. Python, R), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
Experiences in data modeling, A/B and hypothesis testing, statistical, mathematical and predictive modeling
Strong Technical leadership skills
Effective verbal and written communication skills and very strong problem resolution skills
Ability to work in a fast paced Agile development and rapid deployment in the Cloud/SaaS environment
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Experience with data visualization and presentation, turning complex analysis into insight
Experience collaborating with software development teams, data scientists, business or other technical roles
Experiences with cloud technologies/deployments
Relevant working experience in an analytical role which involves data extraction, analysis, and communication
A natural curiosity and desire to learn
Sign up and search through 76,576 curated jobs in the Tech Edition: