Data Scientist II

Key Skills

Aartificial intelligence, Big Data Technology, Data Analysis, Data science techniques, Data Visualization, Design, Effective communication skills, Machine learning techniques, Planning and organization, Python Programming, R Programming, SAS, Scala Programming, SQL, Writing

Job Description

In today’s highly competitive private equity market, firms must not only deliver superior returns, but also respond to more stringent reporting requirements and increasing demands for information – both from within and outside their organization. Throughout the industry there is mounting pressure on organizations to do more, requiring a clear technology strategy that not only addresses the demands of today, but also enables the growth and performance of tomorrow.

What you will be doing:

Use quantitative and statistical methods to extract data and insights from structured and unstructured data. Leverage machine learning, statistical modeling, and quantitative analysis to create smarter, data-driven products.

Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis

• Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL
• Experience or knowledge of cloud-based technology
• Knowledge of financial services industry
• Ability to collaborate with others and solve complex problem
• Proficiency in solutions design and requirements
• Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors
• Excellent analytical, decision-making, problem-solving, team, and time management skills
• Ability to persuade and influence others on the best approach
• Positive outlook, strong work ethic, and responsive to internal and external clients and contacts
• Ability to work as part of a team or alone making a strong contribution in either scenario
• Exceptional statistical, mathematical and analytical skills
• Superior interpersonal, communication and presentation skills
• Delivery-oriented team player who takes responsibility for the team’s success and strives to continually learn and improve
• Ability to interface with all levels of employees and effectively interact with various functional areas and facilities
• Ability to establish and maintain effective working relationships with employees, management, and clients

What you bring:

Skills:

• 6+ years into Data science.
• Employ machine learning and statistical modeling to create and enhance data driven products
• Analyze and extract insights from internal and external data
• Work with Big Data and transform complex datasets into more usable formats
• Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL
• Work independently and collaborate with other groups to solve complex problems
• Create and present analyses to internal and external partners and clients
• Document models and write code to track and monitor models and product performance
• Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs
• Other related duties assigned as neededGood written and verbal communication skills.Qualification: BCA/BSC/BE/ME/B.Tech/M.Tech (Information Technology/ computer)

What we offer you:

• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
• A broad range of professional education and personal development possibilities – FIS is your final career step!
• A competitive salary and benefits

 A variety of career development tools, resources and opportunities

Location : Banga

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Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.