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Data Scientist

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SS&C Technologies

3d ago

  • Job
    Full-time
    Junior Level
  • Data
    Research & Development
  • Hyderabad, +1

AI generated summary

  • You need 2+ years in production ML/NLP, a Master's/Ph.D., strong Python/SQL skills, data manipulation experience, and familiarity with Agile. Financial services experience is a plus.
  • You will manage data projects, collaborate with cross-functional teams, develop innovative AI solutions, and support advanced analytics through modeling and data analysis across various applications.

Requirements

  • A minimum of 2 years of developing and running models in non-academic production systems. Please note that applications without this experience will not be considered. Some of this experience needs to be with NLP and deep learning technologies.
  • Masters or Ph.D. with experience in Machine Learning/Statistics/Data Science
  • Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Regularization, NLP, NLU, Ensemble Methods and Neural Networks
  • Strong implementation experience with high-level languages, such as Python, R, Perl, Ruby, Scala or similar scripting languages.
  • Familiarity with Linux/Unix/Shell environments.
  • Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data.
  • Strong written and oral communication skills.
  • Intense intellectual curiosity – strong desire to always be learning
  • Analytical, creative, and innovative approach to solving open-ended problems
  • Highly collaborative, team-player attitude
  • Experience with product development is a plus
  • Experience with Financial Services is desired but not required. Much of our data relates to Investment Banking and M&A.
  • Technical Skills: SAS &/or R &/or SPSS, Python, Hadoop, SQL, NoSQL, Unstructured Data, SQL, SparkSQL (or equivalent Big Data Language), Expert at MS Excel, XML, Data Visualization Tensorflow, Kubeflow, Anaconda, PyCharm, SciPy, Keras, Scikit, NLTK, SpaCY.
  • Tool Experience (such as Tableau), XML, Web Services, Java, &/or Perl &/or Python &/or C/C++, RESTful Services and APIs, Testing and Debugging, Data Munging/Cleanup, Data Visualization and Communication.
  • Experience with ML systems using frameworks such as Scikit-learn, Keras and Tensorflow.
  • Technical/SDLC: General Agile experience, Strong SCRUM, Confluence, Jira, Version Control.
  • Strong Presentation skills.
  • Experience in business intelligence systems is a plus.
  • Strong business acumen and financial services experience is a plus.

Responsibilities

  • Work with the AI team in building a world-class software, functioning as a thought leader in ensuring team development efforts resulting in successful delivery of AI systems.
  • Collaborate with cross functional agile teams of software engineers, data engineers, ML engineers, Product Managers and others in building new product features
  • Manage and execute entire data projects from start to finish including cross-functional project management, data gathering and manipulation, analysis and modeling, and communication of insights and recommendations.
  • Demonstrate a high degree of originality and creativity when developing solutions to solve problems like entity recognition, document classification etc. utilizing methods such as statistical analysis, regression modeling, natural language understanding and optimization, and deep learning.
  • Work independently to manage multiple projects at once while ensuring deadlines are met and data output is accurate and appropriate for the business. Must also be able to deal with ambiguity and make independent decisions about what data and approach is best for the task at hand.
  • Think strategically about data as a core enterprise asset and assist in all phases of the advanced analytic development process
  • Support advanced analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression, decision/CART trees, neural networks, time-series analysis, sentiment analysis, topic modeling, random forests, and Bayesian analysis.
  • The scope of work includes Forecast, Prediction Models, Outlier Reporting, Risk Analysis, Document classification, Data Extraction, Adhoc analysis.
  • Implementation of Supervised and Unsupervised model development techniques.

FAQs

What is the primary focus of the Data Scientist role at SS&C?

The primary focus of the Data Scientist role is to analyze large, complex datasets, develop models, and apply data science methodologies to solve complex business problems in financial services and healthcare technology.

What qualifications are required for this position?

A minimum of 2 years of experience in developing and running models in non-academic production systems, along with a Masters or Ph.D. in Machine Learning, Statistics, or Data Science, is required for this position.

What technical skills are expected for this role?

Expected technical skills include proficiency in Python, R, SAS, Hadoop, SQL, and familiarity with machine learning frameworks such as TensorFlow, Keras, and Scikit-learn.

Is experience in financial services necessary for this job?

Experience in financial services is desired but not required; however, much of the data relates to Investment Banking and M&A.

What type of projects will the Data Scientist manage?

The Data Scientist will manage and execute entire data projects from start to finish, including project management, data gathering and manipulation, analysis and modeling, and communication of insights.

What methodologies will be used in this role?

Methodologies include statistical analysis, regression modeling, natural language understanding, deep learning, clustering, segmentation, and various machine learning techniques.

Will the Data Scientist be part of a team?

Yes, the Data Scientist will collaborate with cross-functional agile teams, including software engineers, ML engineers, product managers, and others.

Are there opportunities for growth in this role?

Yes, there are opportunities for growth as the Data Scientist will work with cutting-edge technology and participate in developing world-class AI systems.

Is there a requirement for strong communication skills?

Yes, strong written and oral communication skills are essential for effectively communicating insights and recommendations.

How does the company approach equal employment opportunities?

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant based on race, color, gender, age, or other protected classifications.

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SS&C Technologies

Technology
Industry
10,001+
Employees

Mission & Purpose

SS&C is a leading global provider of mission-critical, cloud-based software and solutions for the financial and healthcare industries. Named to the Fortune 1000 list as a top U.S. company based on revenue, SS&C (NASDAQ: SSNC) is a trusted provider to more than 20,000 financial services and healthcare companies, with over 25,000 employees and operations in more than 40 countries. Built upon a foundation of expertise, innovation and excellent customer service, SS&C powers some of the largest financial and healthcare firms in the world.