Data Scientist

About InfoCepts

InfoCepts is a global leader of end-to-end data & analyticssolutions with nearly 20 years of experience, also named as Gartner's 2020,2021 and 2022 customers choice for Data & Analytics providers. We continueto grow rapidly year over year, now employing more than 1,200 people in officesacross the globe. As we have grown, we have stayed true to our mission-toalways help our customers stay modern that help them make smart, data-drivendecisions. Since 2004, we have deployed hundreds of high performance analyticsapplications over web and mobile platforms, built several advanced analyticsmodels, processed petabytes of data using Big Data technologies and deliveredseveral high impact business solutions. Driven by our vision of deliveringgreat customer experiences, we are looking for professionals who are passionateabout making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data scientist to join us.

Roles and Responsibilities:

• Design, develop, and implement data science models for production, focusing on feature engineering, statistic alanalysis, machine learning, and optimization techniques.
• Utilize programming languages such as Python and R for model development and deployment.
• Process and analyse large datasets using tools like SQL and Spark, ensuring data readiness for analytics and reporting.
• Develop and deploy data science models into production environments, incorporating DevOps and ModelOps principles.
• Work closely with stakeholders toidentify business needs and translate them into data science problems.

Skills Required:

• Bachelor's degree in Computer Science,Data Science, Information Systems, or a related field.
• Proficiency in any of the following: feature engineering, statistics, machine learning, andoptimization techniques.
• Expertise in programminglanguages such as Python or R.
• Experience in data wrangling with tools like SQL and Spark.
• Knowledge of DevOps and ModelOps principles,processes, and tools (e.g., GitLab).
• Experience in developing production-grade model deployment, monitoring pipelines, and optimizing model performance.
• Proficiency in cloud services such as AWS/Azure and processing platforms like Databricks/Snowflak.
• Experience working in. cross-disciplinary agile teams.