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G2

G2 - Data Scientist

Gurgaon, India1w ago
In OfficeMidAPACArtificial IntelligenceData AnalyticsData ScientistBuyerTeam ManagementSQLPandasPolarsPython

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Requirements

• We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway. • Degree in computer science, economics, statistics, mathematics or similarly quantitative field of study. • Required experience: BA/BS from a top-tier university and up to 2 years of professional experience in data science or advanced analytics, or Master’s degree or PhD with relevant graduate or postgraduate research. • Experience with querying languages (SQL), data transformation packages (R’s Data Table, Tidyverse, or Python’s Pandas, Polars) and visualization libraries (ggplot2, plotly, matplotlib, bokeh). • Knowledge of machine learning and statistical algorithms (Regression, Clustering, Bayesian) for anomaly detection, trend prediction, and modeling of content popularity and search results. • Curious and analytical nature. Compelled to dive deep to understand complicated problems. • Passionate for data and analytics. Driven to acquire the skills necessary to accomplish complex tasks. • Interpersonal skills with ability to build relationships and effectively collaborate with colleagues. • Good time management skills and ability to juggle several tasks. • Proactively seek guidance to achieve successful results. • Communication skills with ability to present complicated analysis. • Resourceful and resilient with the instincts to take a creative approach to problem solving. • Experience working with web-analytics clickstream and behavioral data (Google Analytics, Google Search Console). • Experience working with cloud-based data warehouses and data management systems (Redshift, Snowflake, BigQuery). • Experience with Unix/Linux environments, and version control systems (git, or svn). • Experience with natural language processing libraries (Quanteda, text2vec, NLTK, Spacy). • Experience working for consumer or business-facing digital brands. • Our Commitment to Inclusivity and Diversity • At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here. • For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice before applying to this job. • How We Use AI Technology in Our Hiring ProcessG2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment. • How We Use AI Technology in Our Hiring Process • Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team.For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice. • Your Choice Matters:

Responsibilities

• Transform, standardize, and integrate data sets to develop data marts for data science use cases. • Create classification systems for content and buyer attributes to support predictive analytics. • Build models to help match buyers to content that supports their software buying journey. • Implement recommendation and content relevance engines to increase buyer engagement. • Identify opportunities to apply predictive models to improve the buyer experience. • Employ supervised and unsupervised machine learning techniques to support analytic objectives. • Develop data-processing and technical workflows for delivery of data-driven customer experiences. • Collaborate with Engineering and Product Management teams to execute the data science roadmap.

Benefits

• How many days is your notice period? • Do you agree to allow G2 to contact you about job opportunities for up to 1080 days? • Recruiting Privacy Policy

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