Be an early applicantLess than 25 applicantsPosted by Agency
Acunor ยท 2 days ago
Data Scientist
Texas, United States
Full-time
Remote
Entry, Mid Level
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Responsibilities
Ability to understand a problem statement and implement analytical solutions and techniques independently, proactively, and with thought leadership.
Work with organizational stakeholders to identify opportunities for leveraging company/client data to drive business solutions.
Fast learner: ability to learn and quickly learn a new language/tool/ platform.
Conceptualize, design, and deliver high-quality solutions and insightful analysis.
Conduct research and prototyping innovations, data and requirements gathering, solution scoping and architecture, and consulting clients and clients-facing teams on advanced statistical and machine learning problems.
Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes.
Ability to deliver AIML-based solutions around a host of domains and problems, with some of them being Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
Qualification
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Required
Expert level proficiency in at least one of R and Python with a focus on object-oriented programming.
Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms.
Demonstrable understanding of machine learning techniques and their practical applications.
Excellent collaboration and communication skills.
A team player with a proactive approach to problem-solving.
Familiarity with NLP and text analysis.
Experience working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modeling, insights, visualizations, monitoring, and maintenance.
Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive required outcomes.
Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches daily.
We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, clustering, Deep learning etc. regularly. If you know a few of them, you are good to go.
Experience working with Linux computing environment and using command line tools like sed/awk.
Good grasp of databases, including RDBMS, NoSQL, MongoDB, etc.
Preferred
Experience in upcoming technologies like deep learning, NLP, image processing, and recommender systems.
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Company
Acunor
Acunor is an IT management company that offers staffing services including analytics, cloud, digital transformation, and data engineering.
Founded in 2016
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Mona M.
Talent Research Partner
Company data provided by crunchbase
