Data Scientist

Role: Data Scientist

Location: Hyderabad (Work from Office)

Experience: 4 -6 years

about alliantgroup

alliantgroup is a professional services firm that provides tax consulting and compliance services to businesses in the United States. The company was founded in 2002 and is headquartered in Houston, Texas. alliantgroup services are focused on helping businesses claim tax credits and incentives that they are entitled to under various federal and state programs. These credits and incentives are designed to encourage businesses to invest in certain types of activities, such as research and development, energy efficiency, and hiring employees from certain disadvantaged groups. alliantgroup services include helping businesses identify and claim these credits and incentives, as well as providing guidance on compliance with the relevant regulations.

alliantgroup is headquartered in Houston, Texas with additional offices located in Austin, Boston, Chicago, Indianapolis, New York, Irvine, Sacramento, Washington, D.C.; and Bristol and London in the U.K.

More about our culture and why we love
alliantgroup

alliantgroup India Talent Pvt. Ltd:

alliantgroupstarted its operations in India in the year 2019 with a world-class office in Hyderabad to provide Tax, Advisory, Audit and Accounting services. alliantgroup India Talent comprises a team of skilled professionals who address the most pressing needs of U.S CPA Firms. We work with the best talent and ensure our clients get top quality services they need. We are currently a family of 1000+ employees.

Our people and culture set us apart as a firm, and our team includes professionals from a diverse array of fields, including business, engineering, software development, law, and accounting.

What you'll be doing:

We are seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, your primary responsibility will be to design and develop predictive models to derive actionable insights from complex data sets. You will work closely with cross-functional teams to understand business requirements and leverage your expertise in data analysis and modeling techniques to provide valuable solutions.

urgency. Additional requirements for this role are dependability and willingness to go above and beyond the call of duty in assisting end-users and following technical issues through to resolution.

What will be your responsibilities:

• Collaborate with domain experts, stakeholders, and data engineers to identify and gather relevant data for analysis.
• Clean, transform, and preprocess data to ensure data quality and compatibility for modeling purposes.
• Develop and implement advanced statistical models and algorithms to analyze large and complex datasets.
• Utilize machine learning techniques to extract meaningful patterns, trends, and insights from structured and unstructured data.
• Perform feature engineering, variable selection, and model validation to improve the accuracy and effectiveness of predictive models.
• Implement MLOps practices, including model deployment, monitoring, and version control.
• Collaborate with stakeholders to understand business requirementsand produce developed models for deployment in real-world systems.
• Communicate findings and insights through clear and compelling data visualizations, reports, and presentations to both technical and non-technical stakeholders.
• Stay up to date with the latest advancements in data science, machine learning, computer vision, NLP, and MLOps techniques.
• Conduct experiments, A/B testing, and analysis to optimize model performance and drive business outcomes.
• Coordination with ISMS core team to support ISMS activities and implantation strategies at the company.

What are we looking for:

• Bachelor's degree in computer science, Statistics, Mathematics, or a related field. A Master's degree is preferred.
• Proven experience as a Data Scientist or similar role, preferably in a business or industry setting.
• Strong analytical thinking and a passion for data-driven decision-making.
• Ability to work independently and collaboratively in a fast-paced and dynamic environment.
• Key Skills:
• Python, Machine Learning, Deep Learning, NLP, Computer Vision, OCR, Microsoft Azure, MLOps, Plotly, SQL, Spark SQL, conversational AI, Abacus, Databricks, Git, Shell commands.

What we offer:

With us, there are always opportunities to break new ground. We empower you to take the organization to the next level with the versatile experience that you bring in. We trust you with responsibility early on and support you in all ways to make this organization as trusted partner to the customers and a great place to work for the employees.

Join us and bring your curiosity to life