About Us
OTSI is a leading global technology company offering solutions, consulting, and managed services for businesses worldwide since 1999. OTSI serves clients from its 15 offices across 6 countries around the globe with a Follow-the-Sun model. Headquartered in Overland Park, Kansas, we have a strong presence in North America, Central America, and Asia-Pacific with a Global Delivery Center based in India. These strategic locations offer our customers the competitive advantages of onshore, nearshore, and offshore engagement and delivery options, with 24/7 support. OTSI works with 100+ enterprise customers, of which many are Fortune ranked, OTSI focuses on industry segments such as Banking, Financial Services & Insurance, Healthcare & Life Sciences, Energy & Utilities, Communications & Media Entertainment, Engineering & Telecom, Retail & Consumer Services, Hi-tech, Manufacturing, Engineering, transport logistics, Government, Defense & PSUs.
Our focused technologies are:
- Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights)
- Digital Transformation (Cloud Computing, Mobility, Micro Services, RPA, DevOps)
- QA & Automation (Manual Testing, Nonfunctional testing, Test Automation, Digital Testing)
- Enterprise Applications (SAP, Java Full stack, Microsoft, Custom Development)
- Disruptive Technologies (Edge Computing/IOT, Block Chain, AR/VR, Biometric)
Object Technology Solutions, Inc (OTSI) has an immediate opening for a SAS Data Scientist
SAS Data Scientist (Chennai)
MAJOR RESPONSIBILITES:
- Extract usable data from valuable data sources.
- Use machine learning tools to select features, create, and optimize classifiers.
- Develop prediction systems and machine learning algorithms.
- Carry out pre-processing of structured and unstructured data.
- Process, cleanse, and validate the integrity of data for analysis.
- Enhance data collection procedures to include all relevant information for analytic systems.
- Analyze large amounts of information to find patterns and solutions.
- Perform exploratory data analyses, generate, and test hypotheses.
- Prepare and analyze historical data, identifying patterns.
- Apply good applied statistics skills like distributions, regression, etc.
- Implement new statistical methodologies as needed for specific analysis.
- Apply data mining/machine learning algorithms using SAS STAT, SAS OA, etc., in SAS 9.4 platform using SAS code.
- Desirable knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig
SKILLS AND ABILITIES REQUIRED:
- Proficiency in data mining and extraction techniques.
- Strong understanding and application of machine learning algorithms.
- Ability to pre process both structured and unstructured data.
- Excellent data analysis skills, with the ability to find patterns and derive insights.
- Proficiency in statistical analysis and hypothesis testing.
- Experience with statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig.
- Familiarity with SAS platform and related tools.
- Strong problem-solving skills and ability to work with large datasets.
- Proficient in communication skills .
- SAS Certification Mandatory
Qualifications And Experience
- A bachelor's degree in computer science or software engineering, or equivalent work experience.
- Over all 5.0years exp in IT technology, including a minimum of 3.0years as a SAS.