Customer Data ML Intern at AvePoint

Arlington, VA, United StatesInternshipInternships Posted 17 days ago

About the Role

Role Description  We are seeking a Customer Data Machine Learning Intern to help enhance and evolve our opportunity health scoring model, a critical capability used to improve pipeline quality, win rates, and revenue outcomes. This role will focus on expanding feature engineering, improving model performance, and supporting experimentation using customer, sales, and product data within Microsoft Fabric. The intern will work closely with Data Science, Analytics, and RevOps partners to integrate additional signals and ensure outputs are actionable for sales stakeholders. This is a hands-on opportunity to apply machine learning in a real business context and contribute directly to revenue-driving insights.  Key Responsibilities  <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="1" data-aria-level="1">Review and analyze the existing opportunity health scoring model, including features, logic, and performance. </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="2" data-aria-level="1">Explore and integrate multiple data sources such as CRM, sales activity, product usage, and historical deal data. </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="3" data-aria-level="1">Design and develop new features to improve predictive accuracy (e.g., engagement trends, activity velocity, deal progression signals). </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="4" data-aria-level="1">Build and maintain feature engineering pipelines to support model development and experimentation. </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="5" data-aria-level="1">Train, test, and evaluate machine learning models and compare results against existing baselines. </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="6" data-aria-level="1">Optimize model performance through tuning and iteration using business-relevant metrics. </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="7" data-aria-level="1">Support integration of improved models into existing scoring and reporting pipelines. </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="8" data-aria-level="1">Validate outputs with Analytics, RevOps, and sales stakeholders. </li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":360,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"singleLevel"}" data-aria-posinset="9" data-aria-level="1">Document model logic, features, assumptions, and recommendations for future improvements. </li> </ul> Qualifications  Required / Preferred Background  <ul> <li> Currently pursuing a degree in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Analytics, or a related field (rising sophomore through graduate level).</li> <li> Strong interest in applied machine learning and predictive modeling.</li> <li>4 Days in Office - Arlington, VA</li> </ul> Technical Skills (academic or project-based experience acceptable)  <ul> <li> Experience with Python or similar languages used for data analysis and machine learning.</li> <li> Familiarity with machine learning concepts, including feature engineering, model training, and evaluation metrics.</li> <li> Exposure to SQL and structured datasets.</li> <li> Experience or interest in Microsoft Fabric, Azure, or modern data platforms is a plus.</li> </ul> Core Competencies  <ul> <li> Strong analytical and problem-solving skills with attention to detail and data quality.</li> <li> Ability to work with ambiguity and iterate in an experimental environment.</li> <li> Clear communication skills and ability to explain technical concepts to non-technical stakeholders.</li> <li> Curiosity, ownership mindset, and eagerness to learn applied machine learning in a business context.</li> </ul> The typical base salary range for this position is $18 - $20 per hour. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications.<div class="content-conclusion">Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our <a id="menur12n" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" href="https://www.avepoint.com/company/privacy-notice" target="_blank">Privacy Notice</a>.</div>

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