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Job Description:
Job Title: Senior Data Scientist
Division: Class Action, Corporate Restructure & Mass Tort Solutions
Department: Mass Tort Product Development
Location: Hyderabad, India
Reports To: Manager of Mass Tort Product Development in India
Summary
Epiq Mass Tort Product Development is a team within ECAR that supports the Mass Tort business vertical. We create and maintain application that support the business from the inception of a mass tort claim, developing the case, resolving liens, and finally paying out Settlements. The Data Science team has been an integral part to the development of several mass tort applications and products and will continue to provide innovative solutions and products feature data analysis and machine learning.
We are looking for a Data Scientist to join our Mass Tort Product Development team in Hyderabad. This role will work closely with our data science team, taking on progressively more responsibility as they learn the mass tort business. They will also be expected to work closely with other Mass Tort Product Development teams, business analysts, and product owners to ensure that data science solutions fit business need. We are looking for a Data Scientist with 5 to 7 years of experience.
Responsibilities
The immediate need is to support our prescreening data product as well as various other data science initiatives for other applications. The long term goal is to provide analytical support, machine learning models, and data focused solutions to problems facing our business users and applications. Job Responsibilities
- Collaborate with product owners to explore opportunities to develop data inspired solutions by developing and utilizing statistical modeling and machine learning algorithms
- Clean, prepare and verify the integrity of data for analysis
- Track model accuracy, ensuring model relevance and reliability
- Create clear, user-friendly documentation to support business usage of the solution
- Stay abreast of and apply industry and technology trends as well as emerging tools and techniques relevant to discipline
- Participate in a continuous learning environment within the advanced analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open source community Comfortable working with raw files and unstructured data
- You have a solid grasp of statistics and how it enables data scientists to solve business problems
- Build applications that facilitate robotic process automation for critical workflows
- Support and improve existing models and applications
Requirements- Bachelor’s Degree, Advanced Degree (MS/PhD) in a quantitative discipline preferred (e.g., Mathematics, Statistics, Economics, Physics).
- In-depth knowledge of applied data science.
- 4+ years of experience developing machine learning models, prefer an NLP focus
- Prefer implementation experience with one or more of the following:
- Deep Learning
- Natural Language Processing
- Association Rule Mining
- 5+ years of hands-on experience with Python and SQL, experience with other languages a plus
- 1+ years of experience developing in a Linux environment
- Experience developing and deploying machine learning models in cloud environments (AWS Preferred)
- Excellent communications skills, in particular, the ability to communicate technical content to general audience in presentation and meeting format
- The ability to think creatively with data, formulate and get tractions around new ideas, and bring a new perspective to the stakeholders.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.
