data science

National Storage Affiliates

Location: Greenwood Village, Colorado (DTC Headquarters – In Office)
 Schedule: Part-Time | Summer Internship
 Compensation: $22.00 per hour
 Classification: Non-Exempt (Hourly)
 
Position Summary
 
We are seeking a driven and analytically strong Summer Intern to support our Data Science and Analytics team. This role will center on a high-impact project designed to enhance our predictive pricing models. The primary focus will be developing a historical weather feature using local weather data to improve demand forecasting and enable more dynamic, weather-informed pricing strategies.
 
Depending on the intern’s skill level and progress, additional opportunities may include analyzing paid spend performance within the Google Ads environment and contributing to the development of a “Google Trends” machine learning feature to further strengthen our predictive modeling capabilities. This is a hands-on opportunity to work on real-world machine learning initiatives that directly influence revenue and pricing decisions.
 
Key Responsibilities
 
<ul>
<li>Develop and engineer historical weather data features to enhance predictive demand models.</li>
<li>Integrate external data sources into existing machine learning workflows.</li>
<li>Support model testing, validation, and performance analysis.</li>
<li>Analyze data within the Google Ads environment to identify trends and optimization opportunities.</li>
<li>Contribute to the development of additional machine learning features, including potential Google Trends integrations.</li>
<li>Create clear data visualizations and reporting outputs to communicate findings to stakeholders.</li>
</ul>
Qualifications & Ideal Candidate Profile
 
<ul>
<li>Currently enrolled in a degree program.</li>
<li>Strong analytical skills with a demonstrated ability to solve complex problems.</li>
<li>Experience (academic or professional) with Python and SQL.</li>
<li>Familiarity with machine learning workflows, including data preparation, feature engineering, and model evaluation.</li>
<li>Experience with data visualization tools such as Power BI or Tableau.</li>
<li>Smart, hardworking, curious, and proactive, with a positive, team-oriented attitude.</li>
<li>Ability to work independently while seeking guidance when appropriate.</li>
</ul>
NSA OP, LP is an equal opportunity employer. Employment and promotional decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, status as a covered veteran, or any other basis of discrimination prohibited by applicable local, state, or federal law. No question in our application process is used for the purpose of limiting or excluding any applicant's consideration for employment on such grounds.
 
The above statements are intended to describe the general nature and level of work for the position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. All job descriptions are subject to change. Job functions and/or responsibilities may be amended at any time at management’s discretion.

DATA SCIENCE - DATA SCIENCE INTERN

Micron Technology

<div>Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
<div>As a Data Science Manager , you will set the vision and lead the development of a high‑performing analytics team. In this role, you will guide a dedicated group of data scientists, partner with key collaborators, and deliver data-driven solutions that address complex strategic and operational challenges. You will use strong problem‑solving and analytical skills to uncover insights, improve processes, and create measurable business impact. This is a highly collaborative role working closely with operations, engineering, IT, and leadership teams across the organization.
<h2 class="jobSectionHeader">Responsibilities:
</h2><ul><li>Lead and develop a high-performing Data Science team. Mentor members, manage performance, and ensure timely completion of required training. Encourage a culture of continuous learning and growth.
</li><li>Oversee Data Science applications and global support, defining, implementing, and maintaining Best Known Methods across regions to ensure consistency and operational excellence.
</li><li>Provide strategic leadership that drives innovative, data‑driven solutions for complex business challenges and supports both tactical and long-term objectives.
</li><li>Collaborate with cross‑functional partners to agree on expectations, communicate priorities, and deliver solutions that support key performance metrics and organizational goals.
</li><li>Develop, guide, and review advanced Machine Learning and Deep Learning models using large datasets, sensor data, metadata, and predictive modeling techniques.
</li><li>Select and communicate modeling approaches clearly, including model behavior, design considerations, visualization modes, imaging concepts, and interpretability.
</li><li>Leverage high‑performance computing environments (Spark, OpenShift, CPU/GPU architectures) to enable scalable model development and sophisticated analytics.
</li><li>Lead project governance and reporting, including decisions to modify, sustain, or discontinue initiatives to meet Fab/area objectives, and prepare monthly and quarterly updates while ensuring a safe, ethical, and compliant work environment.
</li></ul><h2 class="jobSectionHeader">Minimum Qualifications:
</h2><ul><li>MS/PhD (or equivalent experience) in Data Science, Statistics, Computer Science, or an engineering field, with demonstrated experience applying data science to manufacturing, process, yield, or defect data to support decision‑making.
</li><li>Proven ability to deploy analytics and ML solutions that drive yield improvement and process optimization, including anomaly detection, outlier identification, and translating insights into actionable recommendations for process or equipment changes.
</li><li>Strong cross‑functional collaboration skills and the ability to partner with process, equipment, PI, and other domain experts to define problems, validate results, and communicate insights clearly through visualizations or dashboards.
</li><li>Demonstrated success in standardizing and scaling solutions across teams or sites, improving adoption, and reducing ad‑hoc work through training, enablement, and sustainable productization.
</li></ul><h2 class="jobSectionHeader">Preferred Qualifications:
</h2><ul><li>Experience supporting yield ramp and HVM enablement, including finding opportunities, investigating yield‑limiting mechanisms, and scaling solutions from rapid tactical fixes to long‑term monitoring.
</li><li>Familiarity with yield management platforms and related applications.
</li><li>Experience with virtual metrology, process control, and quality control methods, and building models that integrate with fab workflows to improve detection, stability, and response.
</li><li>Strong data science skills passionate about delivering practical solutions. This includes deploying models and analytics as services or dashboards. Use modern tools like containers, CI-CD, large-scale data pipelines, and visualization or reporting platforms.
</li><li>Proven people-leadership capabilities, including mentoring and developing data scientists. Skilled at managing priorities and working with collaborators. Ensures delivery meets ramp achievements with consistent focus on scope, quality, and timelines.
</li></ul></div>As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron&rsquo;s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.</div>

Data Science Manager

Risepoint

<div>Risepoint is an education technology company that provides world-class support and trusted expertise to more than 100 universities and colleges. We primarily work with regional universities, helping them develop and grow their high-ROI, workforce-focused online degree programs in critical areas such as nursing, teaching, business, and public service. Risepoint is dedicated to increasing access to affordable education so that more students, especially working adults, can improve their careers and meet employer and community needs.
The Impact You Will Make
You will lead the data science behind our Student Journey Platform &mdash; a system designed to know what a student needs before they ask, intervene at the moments that matter most, and personalize the experience across every university we serve. This isn't about reactive tooling. It's about building the intelligence layer that orchestrates real-time decisions across the full arc of a student's journey &mdash; from first inquiry through completion &mdash; and doing it at a scale that no single institution could achieve alone.
<h2 class="jobSectionHeader">How You Will Bring Our Mission to Life
</h2>At Risepoint, data science isn't a reporting function &mdash; it's the engine powering predictive AI voice and text experiences that meet students where they are and guide them where they need to go. As Director of Data Science, you'll own the models, evaluation systems, and analytical frameworks that make those experiences smarter, more responsive, and more human over time. Your work won't live in dashboards. It will show up in conversations, decisions, and outcomes for hundreds of thousands of students.
<h2 class="jobSectionHeader">What You Will Do
</h2>You'll lead a multidisciplinary team across three interrelated domains:
Machine learning models &amp; Lifecycle &mdash; Build cutting edge machine learning models and own the end-to-end lifecycle of production ML models powering predictive and conversational AI experiences. Drive next best action, propensity, and intervention models from discovery through deployment, with governance and monitoring frameworks that ensure they stay accurate and reliable in the wild.
Multimodal Intelligence (Voice, Text &amp; Generative AI) &mdash; Architect frameworks to extract high-signal insights from voice, text, and behavioral interaction data &mdash; spanning classical NLP, large language models, and generative AI techniques &mdash; to surface what structured data alone will never reveal. Integrate disparate signals to build a unified, real-time view of student intent and experience.
Tech Product Analytics &amp; Experimentation &mdash; Drive the experimentation roadmap (A/B testing, feature rollouts, behavioral studies) with statistical rigor to ensure AI-powered product decisions are backed by hard data. Define evaluation standards for generative and predictive features, and close the loop between model outputs and product requirements.
Technical Leadership &mdash; Scale a multidisciplinary team by fostering a culture of ownership, analytical rigor, and rapid iteration. Partner with Product and Engineering to define technical success metrics that translate directly into business ROI. Distill complex technical outcomes into compelling narratives that drive alignment and action at the leadership level.
<h2 class="jobSectionHeader">What Success Looks Like
</h2><ul><li>Predictive Precision &mdash; Models that anticipate student needs, surface the right intervention at the right moment, and improve with every interaction
</li><li>Voice &amp; Text as a Strategic Asset &mdash; Conversational data is no longer raw signal &mdash; it's a structured, queryable source of truth that drives product and operational decisions
</li><li>Rigorous AI Evaluation &mdash; Every generative and predictive feature ships with clear evaluation criteria, performance baselines, and monitoring in place
</li><li>Data-Backed Outcomes &mdash; A measurable link between AI-driven interactions and improved student outcomes, including reduced drop-off at critical journey moments and higher completion rates
</li><li>Team Excellence &mdash; A growing, engaged team that ships consequential work with increasing speed and independence
</li></ul><h2 class="jobSectionHeader">How Impact Will Be Measured
</h2><ul><li>A prioritized roadmap of ML and analytics initiatives with clear owners, success metrics, and decision timelines reviewed on a recurring cadence
</li><li>An AI evaluation and monitoring program for key AI-enabled features, including scorecards, decision thresholds, and alerting for performance regressions
</li><li>A standardized conversational taxonomy and recurring reporting across voice and text interactions that surfaces top drivers, trend movement, and emerging issues
</li><li>Measurable improvement in at least two agreed student or operational outcome measures through data science-led changes
</li></ul><h2 class="jobSectionHeader">What You'll Bring to the Team
</h2><ul><li>A builder's mindset &mdash; you create structure from ambiguity and rally people around shared goals
</li><li>Deep intuition for how predictive and generative AI systems behave in production &mdash; and what it takes to keep them performing
</li><li>The ability to move fluidly between strategic thinking and hands-on technical work without losing altitude
</li><li>A track record of translating complex models and analyses into narratives that drive executive action
</li><li>Deep credibility with engineers, product managers, and analysts alike
</li><li>A genuine investment in developing the people around you
</li></ul><h2 class="jobSectionHeader">Experience That Matters Most
</h2><ul><li>10+ years in data science, machine learning, or analytics roles
</li><li>5+ years leading multidisciplinary data science or analytics teams
</li><li>Hands-on experience building or evaluating predictive AI systems in voice or text-based products
</li><li>Production machine learning experience &mdash; model building, launch, governance, monitoring, and lifecycle management
</li><li>Strong command of Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)
</li><li>Experience designing evaluation frameworks for LLM or generative AI features
</li><li>Proven experience designing and analyzing experiments (A/B testing, feature rollouts, behavioral studies)
</li><li>Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field &mdash; or equivalent experience
</li></ul><h2 class="jobSectionHeader">Experience That's Great to Have
</h2><ul><li>Familiarity with generative AI applications in a product or customer experience context or agentic workflow design
</li><li>Experience with next-best-action, recommendation, or real-time intervention modeling
</li><li>Familiarity with cloud data platforms and distributed data technologies (Spark, Databricks, etc.)
</li><li>Background in EdTech, higher education, or other mission-driven industries
</li><li>Experience partnering with GTM or operations teams, not just product and engineering
</li></ul>Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.</div>

Director, Data Science

Cinemark

<div>Join Our Team:
As part of our Cinemark Universe, you will immerse yourself in a fun and fast-paced environment that offers rewarding learning experiences. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.
2026 Summer Internship Program:
 
Are you ready to launch your career in entertainment and make a real impact? Cinemark&rsquo;s Corporate Internship Program is your gateway to hands-on experience, professional development, and meaningful connections &ndash; all from our dynamic and inclusive corporate office. Join us for the 2026 Summer Internship, taking place June 1st to August 7th at Cinemark&rsquo;s Service Center in Plano, TX.
What&rsquo;s in it for you?
<ul><li>Meaningful Contributions: You&rsquo;ll work on impactful projects that align with real business goals, giving you the opportunity to make a visible difference. You&rsquo;ll gain hands-on experience and exposure to the inner workings of a publicly traded company with a global footprint.
</li><li>Mentorship &amp; Support: You will be paired with a dedicated peer coach to guide your development and help you navigate the experience.
</li><li>Executive Exposure: The program culminates in a final presentation to Cinemark&rsquo;s executive leadership &ndash; your chance to showcase your work and insights to key decision-makers.
</li><li>Fun &amp; Engaging Events: Build lasting connections through social activities, development workshops, and exclusive opportunities to engage with senior leaders.
</li><li>Full-Time Immersion: A 40-hour workweek during standard business hours gives you a true feel for a professional work environment.
</li><li>Hybrid Flexibility: Enjoy a hybrid schedule with 3 days onsite and 2 days remote, designed to balance collaboration and flexibility.
</li><li>Competitive Pay: Earn a competitive hourly wage while gaining valuable industry experience and professional development.</li></ul>
The role of a Data Science Intern:
We&rsquo;re hiring two curious, data‑driven Pricing &amp; Data Science Interns to help unlock insights and shape smarter pricing decisions. You&rsquo;ll dive into real datasets, contribute to pricing strategy, support operational execution, and sharpen competitive intelligence &ndash; partnering with peer coaches and cross‑functional teams across Admission Tickets Pricing, Food &amp; Beverage Pricing, and Competitive Intelligence.
Responsibilities:<ul><li>
Gather, clean, and preprocess data from multiple sources.</li><li>
Analyze trends and correlate performance with market and demographic drivers.</li><li>
Assist with scripting/ automation /operation workflow to reduce manual effort and improve reliability.</li><li>
Support AI automation via data preparation, prototyping, QA, and data collection</li><li>
Create dashboards in Power BI to visualize trends, KPIs, and insights.</li><li>
Prepare concise summaries and recommendations for stakeholders.</li></ul>
Requirements:
<ul><li>Current Junior or Senior pursuing a degree in Data Science, Computer Science, Statistics, Economics, Business, Engineering, or a related field at an accredited university.</li><li>
Strong analytical and problem-solving skills; curiosity and willingness to learn.</li><li>
Basic knowledge of data analysis tools, including Power BI, Python, SQL, and Excel.</li><li>
Exposure to LLMs/ GenAI, prompt engineering, or model evaluation a nice-to-have.</li><li>
Strong communication and presentation skills.</li><li>
Ability to work independently and as part of a team.</li></ul>
Here&rsquo;s what our 2025 Interns had to say:
<ul><li>&quot;Through this internship, over the past ten weeks, I have been fortunate to experience incredible opportunities to grow both professionally and personally. I worked alongside outstanding people and gained valuable technical skills that I will carry throughout my career. I&rsquo;m leaving this summer with lasting memories, meaningful relationships, and excitement for what comes next.&rdquo; Cason Wetherill, Food &amp; Beverage Inventory Intern
</li></ul><ul><li>&ldquo;Over the past couple of months, I&rsquo;ve grown tremendously&mdash;developing both technical and soft skills&mdash;while working in such a fun, welcoming, and enriching environment that truly made all the difference. I&rsquo;m beyond grateful for the friendships built along the way and the memories I&rsquo;ll carry forward. It&rsquo;s safe to say that during my time here, I&rsquo;ve watched more movies and eaten more popcorn than ever before&mdash;definitely the best &ldquo;work perks&rdquo; I could ask for.&rdquo; Nicole Perdomo, Corporate Finance Intern
</li></ul><ul><li>&ldquo;This internship has been one of the best professional development opportunities of my life. I&rsquo;ve met some incredible people here, done some great work for my team, and learned a number of valuable skills. There&rsquo;s more complexity to the movie distribution business than many people know- but Cinemark is a shining example of how to do it right. Many thanks for the good people of Cinemark for providing this absolutely CINEMATIC opportunity!&rdquo; Stephan Norquist, Data Science Intern</li></ul>
DISCLAIMER: This job description is intended only as a general guideline of your duties and responsibilities at Cinemark and is not a legally binding contract. Cinemark reserves the right to amend, change or terminate the job description, as it deems appropriate. Any change amendments, or modifications may be implemented even though they have not been communicated, reprinted or substituted in this job description. 
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
Cinemark is an Equal Opportunity Employer</div>

Data Science Intern

Peter Millar

<div>
 It's fun to work in a company where people truly BELIEVE in what they're doing!
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 
 We are seeking a Data Science Intern pursuing a master&rsquo;s degree in Data Analytics or a related field to join our dynamic team. The ideal candidate has a strong interest in the retail and apparel space, coupled with foundational experience in Microsoft&rsquo;s Azure platform. This internship offers hands-on opportunities to analyze complex datasets, develop predictive models, and drive actionable insights that impact business decisions.
 
 
 
 
 Work Schedule
 
 
 
 <ul>
 <li>
 Part‑time beginning in April
 </li>
 <li>
 Full‑time during the summer months (preferably in office)
 
 
 </li>
 </ul>
 
 Future Opportunity
 
 
 
 This internship offers the potential for full‑time employment upon completion, contingent on performance and organizational needs.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 </li>
 <li>
 Collaborate with the data science team to design, develop, and implement data-driven solutions tailored to the retail and apparel industry.
 </li>
 <li>
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to uncover patterns and trends in customer behavior, sales performance, and inventory management.
 </li>
 <li>
 </li>
 <li>
 Build and refine predictive models and machine learning algorithms to enhance business outcomes, such as demand forecasting and personalized marketing strategies.
 </li>
 <li>
 </li>
 <li>
 Assist in the integration and management of data pipelines using Microsoft Azure tools, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
 </li>
 <li>
 </li>
 <li>
 Present findings and recommendations through clear visualizations and reports using Power BI or similar tools.
 </li>
 <li>
 </li>
 <li>
 Participate in cross-functional projects to align data science initiatives with broader business goals.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Demonstrated interest in the retail and apparel industry, with knowledge of market trends or consumer behavior.
 </li>
 <li>
 Hands-on experience with Microsoft Azure services, such as Azure ML, Azure Data Factory, or Azure Synapse Analytics.
 </li>
 <li>
 Proficiency in programming languages such as Python or R, and experience with libraries like pandas, scikit-learn, or TensorFlow.
 </li>
 <li>
 Familiarity with SQL for querying and managing databases.
 </li>
 <li>
 Basic knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Desired Education And Experience
 
 
 
 <ul>
 <li>
 Currently pursuing a Master&rsquo;s degree in Data Analytics, Data Science, Statistics, Computer Science, or a related field.
 </li>
 <li>
 Experience with retail datasets, such as point-of-sale (POS) data, inventory systems, or customer segmentation.
 </li>
 <li>
 Exposure to cloud-based machine learning workflows or model deployment on Azure.
 </li>
 <li>
 Understanding of A/B testing and other statistical evaluation methods.
 
 
 </li>
 </ul>
 
 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
 
</div>

Data Science Internship

BH Management Services, LLC

<div>BH is a people-first multifamily owner and operator that grew from a small startup into one of the nation's largest commercial real estate companies. Founded in 1993, BH is celebrated for its simple commitment to doing business the right way and investing in its team. Today, BH manages over 100,000 units, employs over 2,800 people, owns its processes in-house, and is praised by Fortune Magazine as the &ldquo;Best Workplace for Women,&rdquo; &ldquo;Best Workplace for Millennials,&rdquo; and &ldquo;Best Workplaces for Diversity.&rdquo; Powered by innovation and a can-do attitude, BH improves daily, striving to construct a smarter way to live, invest, manage, and grow.
BH is passionate about setting the standard in the multifamily industry. We are a welcoming band of go-getters who think big, sweat the details, and take our work (but never ourselves) too seriously. We set our sights high, own our mistakes, and turn lemons into lemonade. We are incredibly proud of where we&rsquo;ve come and are ready to tackle what&rsquo;s next. Come join us!
Role Overview
As the Data Science Manager, you&rsquo;ll have a big mission. Responsible for assuring the Company&rsquo;s standards are achieved and excellent customer service is delivered. You also understand the value of taking a moment to express gratitude to the village that helped to make it happen. As you can likely tell, 'how' things are done matters just as much as &lsquo;what&rsquo; was done here at BH!
Key Responsibilities
<ul><li>Design, build, and deploy statistical models, forecasting frameworks, and predictive analytics solutions.</li>
<li>Apply advanced analytical techniques&mdash;including regression, time‑series forecasting, classification, clustering, and experimentation&mdash;to address strategic business challenges.</li>
<li>Lead model validation, performance monitoring, and documentation to ensure accuracy, rigor, and reproducibility.</li>
<li>Identify high‑impact machine learning and AI use cases and guide their implementation.</li>
<li>Write advanced SQL queries and manage analytics workflows within Snowflake and related cloud data environments.</li>
<li>Use Python and R extensively for modeling, experimentation, and data analysis.</li>
<li>Lead, mentor, and develop a team of analysts, fostering both technical and professional growth.</li>
<li>Establish and uphold technical standards, analytical methodologies, and best practices across the team.</li>
<li>Review analyses, models, and dashboards for quality, accuracy, and business relevance.</li>
<li>Prioritize initiatives and allocate resources in alignment with executive priorities.</li>
<li>Expand team capabilities in data science, statistical modeling, and AI applications.</li>
<li>Partner directly with executive leadership to clarify analytical needs and shape complex business questions.</li>
<li>Translate analytical findings into clear, concise, executive‑ready insights and recommendations.</li>
<li>Serve as a strategic advisor on forecasting, performance improvement, and risk‑management initiatives.</li>
<li>Oversee the development and maintenance of executive‑level Power BI dashboards and semantic data models.</li>
<li>Ensure data integrity, consistency, and accuracy across all reporting and analytical outputs.</li>
<li>Collaborate with cross‑functional teams in Hex or similar notebook platforms to document, automate, and operationalize analytical work.</li>
<li>Leverage AI tools such as ChatGPT and Claude to accelerate analysis, automate repeatable workflows, and enrich insight generation.</li>
<li>Establish best practices for responsible and effective AI usage within analytics workflows.</li>
<li>Train leaders and business partners on the practical application of AI and analytical tools.</li>
<li>Stay current on emerging data science and AI technologies and implement solutions that deliver measurable business value.</li>
<li>Other duties as assigned</li>
</ul>
You Have
<ul><li>7+ years of experience in data science, advanced analytics, or a related quantitative field, preferably in multifamily, real estate investment, or financial services.</li>
<li>2+ years of experience leading or mentoring analysts.</li>
<li>Advanced proficiency in SQL, Python, and R.</li>
<li>Experience working with Snowflake or similar cloud data warehouse platforms.</li>
<li>Strong experience developing and validating statistical and predictive models.</li>
<li>Advanced experience building executive-facing dashboards in Power BI.</li>
<li>Demonstrated ability to translate complex modeling outputs into clear, actionable business recommendations.</li>
<li>Strong financial and business acumen, particularly in operational or asset-based environments.</li>
<li>Proven ability to independently scope ambiguous problems and deliver high-quality analytical solutions.</li>
</ul>
Seniority Level: Experienced
Industry: Property Management
Employment Type: Full-Time
Location: Remote
Work Schedule: 8am-5pm, Monday-Friday, or as needed to meet business needs. 

BH is an Equal Employment Opportunity Employer. We foster the diverse voices of our community by advocating for inclusivity, celebrating our differences, and continually evolving our practice to make BH a better place to work and live. Our posted compensation reflects the cost of talent across multiple US geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.</div>

Data Science Manager (59369)

Skylink Distributions (Pvt.) Ltd

The ideal candidate should have 3&ndash;4 years of professional experience in Data Analytics and Data Engineering, along with working experience in ERP systems, with proven hands-on expertise in building data pipelines, performing advanced analytics, integrating ERP data sources, and deploying scalable data solutions aligned with business objectives.Key ResponsibilitiesData Management &amp; Analysis<ul><li>Clean, pre-process, and validate large datasets to ensure accuracy, completeness, and consistency.</li><li>Handle missing values, outliers, and data inconsistencies using appropriate statistical techniques.</li><li>Conduct exploratory data analysis (EDA) using tools such as Python, R, SPSS, or other specialised statistical software.</li><li>Develop predictive and analytical models to solve business problems and improve decision-making.</li><li>Ensure adherence to data privacy regulations and internal governance standards.</li></ul>Data Visualization &amp; Reporting<ul><li>Create clear, impactful visualizations including dashboards, charts, and analytical reports.</li><li>Present findings and strategic insights to stakeholders in a clear and actionable manner.</li><li>Translate complex analytical results into business-friendly recommendations.</li></ul>Leadership &amp; Strategy<ul><li>Lead and mentor a team of data analysts and data scientists, fostering technical growth and professional development.</li><li>Provide guidance on best practices in modeling, feature engineering, and data validation.</li><li>Stay updated with the latest data science trends, tools, frameworks, and methodologies to continuously enhance team capabilities.</li><li>Define data science strategy aligned with organizational goals.</li></ul>Data Engineering &amp; Infrastructure Collaboration<ul><li>Manage and monitor data pipelines, ensuring data integrity, security, and performance.</li><li>Collaborate with data engineers to ensure seamless integration of data solutions within the company&rsquo;s infrastructure.</li><li>Oversee deployment, monitoring, and maintenance of machine learning models in production environments.</li></ul>Cross-Functional Collaboration<ul><li>Work closely with Research Teams, Clients, and Business Units to define project goals, KPIs, and deliverables.</li><li>Act as a bridge between technical teams and business stakeholders to ensure alignment.</li><li>Communicate project progress, risks, and outcomes effectively to leadership.</li></ul>ERP &amp; Business Intelligence Integration<ul><li>Lead integration of ERP systems with data science models and business intelligence platforms.</li><li>Ensure synchronisation between operational systems and analytical frameworks.</li><li>Align ERP-driven data workflows with predictive modeling and reporting tools to support strategic decision-making.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or related field.</li><li>Strong expertise in Python, R, SQL, and statistical modeling techniques.</li><li>Experience with BI tools (e.g., Power BI, Tableau, or similar platforms).</li><li>Proven experience in managing data pipelines and model deployment.</li><li>Experience integrating ERP systems with analytics and BI tools.</li><li>Strong understanding of data governance, security, and compliance principles.</li></ul>Core Competencies<ul><li>Leadership and team management</li><li>Strategic thinking and business acumen</li><li>Advanced analytical and statistical skills</li></ul>Job Type: Full-timeWork Location: In person

Data Science Analyst

Search 10000+ Data science jobs near you this March. New roles added regularly across leading industries. Apply today.