Data scientist

2 weeks ago

Bangalore, India Algoleap Full time

Algoleap is one of the fastest growing digital engineering services company based out of Hyderabad working with many fortune 1000 customers in transforming their digital landscape. At Algoleap , we believe that a truly innovative and successful workplace is one where diversity, equity, and inclusion thrive. We are dedicated to building a team that celebrates unique perspectives and experiences, fostering an environment where everyone is empowered to succeed. Algoleap offers compelling full-time roles designed to help you grow and excel. Our positions come with flexible options, including onsite and hybrid roles, allowing our team members to work closely with our clients and make a direct impact on the engagements at the same time offering great work life balance. Job Description: Require experienced Senior Data Scientist to join hands on our different data related project deliverables. Expectation of this role is to lead data-driven projects, develop advanced analytical models, collaborate with cross-functional teams, mentor junior data scientists and help in shaping the data strategy in different engagements. Key Responsibilities: · Data Analysis and Modelling · Data Strategy and Innovation · Lead Data Science Projects · Collaboration with team members and effective team communication · Train/Mentor the junior resources Skills & Qualifications: Experience:5+ years of experience in data science, with real time experience in delivering successful data-driven projects. Programming Skills: · Proficiency in Python or R · Experience in libraries like Pandas, Num Py, Scikit-learn, Tensor Flow, Keras, and Py Torch. Database Skills: · Strong SQL skills for querying databases · experience with No SQL databases like Mongo DB is added advantage. Machine Learning & Statistics: Expertise in machine learning techniques (regression, classification, clustering, decision trees, neural networks etc) and statistical modelling. Big Data Tools: Experience with big data technologies such as Apache Spark, Hadoop, or similar tools. Cloud Platforms: Knowledge of cloud services at least in one (AWS, Azure, GCP) for deploying data models and processing large datasets. Version Control: Experience with Git/Git Hub for version control and collaboration. Education: BTech/MTech in Computer Science & Data Science Certifications Secondary Skills: · Data Visualization using Tableu, Power BI etc · Knowledge of deep learning techniques and frameworks. · MLOps tools for model deployment and monitoring Soft Skill: · Problem-Solving · Adaptability · Leadership · Communication

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