analytical data scientist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><div>Technical:
</div><ul><li> Strong proficiency in Python / R (Pandas, NumPy, Scikit-learn, PySpark)
</li></ul><ul><li> Experience with time-series data and event/alarm analytics,sliding winsows, inmemory DB
</li></ul><ul><li> Knowledge of machine learning algorithms for classification, clustering, and anomaly detection
</li></ul><ul><li> Experience with SQL, big data platforms (Spark, Hadoop),Kafka
</li></ul><ul><li> Visualization tools: Tableau, Power BI, Grafana, or Python visualization libraries Domain
</li></ul><ul><li> Understanding of Wireless Networks (2G/3G/4G/5G, RAN, Core)
</li></ul><ul><li> Knowledge of IEN / IP / Ethernet networking concepts
</li></ul><ul><li> Familiarity with network alarms, fault management, OSS/NMS systems</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div> <div>Data Analysis &amp; Insight Generation
</div><ul><li> Analyze large-scale wireless (RAN, Core) and IEN network alarm data from OSS/NMS systems
</li></ul><ul><li> Identify patterns, trends, and recurring fault signatures across network domains
</li></ul><ul><li> Develop KPIs and dashboards to track network health and fault trends
</li></ul><div>Machine Learning &amp; Modeling
</div><ul><li> Build models for:
</li></ul><ul><li> Alarm correlation and noise reduction
</li></ul><ul><li> Root cause analysis (RCA)
</li></ul><ul><li> Anomaly detection
</li></ul><ul><li> Predictive fault and failure forecasting
</li></ul><ul><li> Apply supervised and unsupervised learning techniques (clustering, classification, time-series analysis)
</li></ul><div>Data Engineering &amp; Automation
</div><ul><li> Clean, normalize, and enrich alarm data from multiple sources
</li></ul><ul><li> Integrate data from OSS, EMS, NMS, CMDB, and performance systems
</li></ul><ul><li> Automate fault insight pipelines and model deployment
</li></ul><div>Collaboration &amp; Operations Support
</div><ul><li> Work closely with NOC, Network Engineering, and Reliability teams
</li></ul><ul><li> Translate analytical findings into operational recommendations
</li></ul><ul><li> Support proactive maintenance and incident prevention initiatives
</li></ul><div>Visualization &amp; Reporting
</div><ul><li> Create interactive dashboards and reports for real-time fault monitoring
</li></ul><ul><li> Present insights clearly to technical and non-technical stakeholders</li></ul><br>
<div><br>
</div><div>Generic Managerial Skills:
</div><ul><li> Strong analytical and problem-solving skills
</li></ul><ul><li> Ability to communicate insights effectively
</li></ul><ul><li> Experience working in cross-functional operational teams</li></ul><br>
<div><br>
</div>Salary Range: $120,000-$150,000 a year<br>
<div><br>
</div><div>#LI-DM1</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Irving, TX</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Data Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>401116</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | Data scientist</div>
</div><div><div><b>Salary Range</b></div>
<div>$120,000-$150,000 a year</div></div></div></div><div></div>

Data Scientist

<div><b>Role Overview</b><p>
We are looking for a <b>Data Scientist</b> to transform raw industrial data into actionable insights and develop predictive models that address real-world energy and operational challenges. You will bridge advanced analytics and practical business impact by turning complex data into strategic decisions.</p><b>
Key Responsibilities</b><ul><li>
Collect, clean, and preprocess structured and unstructured data from multiple sources
</li><li>Perform exploratory data analysis (EDA) to identify trends, correlations, and anomalies
</li><li>Develop, validate, and deploy machine learning and predictive models
</li><li>Design and maintain scalable data pipelines and automation workflows
</li><li>Translate business problems into analytical and statistical solutions
</li><li>Collaborate with engineering, product, operations, and leadership teams
</li><li>Present insights through dashboards, reports, and data visualizations
</li><li>Monitor model performance and continuously optimize algorithms
</li><li>Ensure data quality, integrity, governance, and security compliance</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
</li><li>2+ years of experience in data science, analytics, or machine learning roles
</li><li>Strong programming skills in <b>Python (preferred) or R</b>
</li><li>Proficiency in SQL and working with relational databases
</li><li>Experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
</li><li>Solid understanding of statistics and probability
</li><li>Experience with data visualization tools (Power BI, Tableau, Matplotlib, etc.)
</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP)
</li><li>Knowledge of big data tools such as Spark or Hadoop
</li><li>Understanding of MLOps concepts and model deployment workflows
</li><li>Strong analytical thinking and problem-solving abilities
</li>Excellent communication and collaboration skills<br>
<li>
</li></ul><br>
<br>
<b>Benefits</b><br>
<ul><li>
<b>Annual bonus</b>
</li></ul><ul><li>Health insurance and wellness programs
</li><li>Professional development and training opportunities</li></ul></div>

Advansys Intelligent Solutions

<div>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  Data Scientist
 </strong>
 to transform raw industrial data into actionable insights and develop predictive models that address real-world energy and operational challenges. You will bridge advanced analytics and practical business impact by turning complex data into strategic decisions.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collect, clean, and preprocess structured and unstructured data from multiple sources
  </li>
  <li>
   Perform exploratory data analysis (EDA) to identify trends, correlations, and anomalies
  </li>
  <li>
   Develop, validate, and deploy machine learning and predictive models
  </li>
  <li>
   Design and maintain scalable data pipelines and automation workflows
  </li>
  <li>
   Translate business problems into analytical and statistical solutions
  </li>
  <li>
   Collaborate with engineering, product, operations, and leadership teams
  </li>
  <li>
   Present insights through dashboards, reports, and data visualizations
  </li>
  <li>
   Monitor model performance and continuously optimize algorithms
  </li>
  <li>
   Ensure data quality, integrity, governance, and security compliance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
  </li>
  <li>
   2+ years of experience in data science, analytics, or machine learning roles
  </li>
  <li>
   Strong programming skills in Python (preferred) or R
  </li>
  <li>
   Proficiency in SQL and working with relational databases
  </li>
  <li>
   Experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
  </li>
  <li>
   Solid understanding of statistics and probability
  </li>
  <li>
   Experience with data visualization tools (Power BI, Tableau, Matplotlib, etc.)
  </li>
  <li>
   Familiarity with cloud platforms (AWS, Azure, or GCP)
  </li>
  <li>
   Knowledge of big data tools such as Spark or Hadoop
  </li>
  <li>
   Understanding of MLOps concepts and model deployment workflows
  </li>
  <li>
   Strong analytical thinking and problem-solving abilities
  </li>
  <li>
   Excellent communication and collaboration skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Annual bonus
  </li>
  <li>
   Health insurance and wellness programs
  </li>
  <li>
   Professional development and training opportunities
  </li>
 </ul>
</div>


The Home Depot

<div><b>Position Purpose:</b><p>
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
<br>
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.</p><b><br>
Key Responsibilities:</b><ul><li>
70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings</li></ul><br>
<b>
Direct Manager/Direct Reports:</b><ul><li>
This position reports to manager or above
</li><li>This position has 0 direct reports</li></ul><br>
<b>
Travel Requirements:</b><ul><li>
No travel required.</li></ul><br>
<b>
Physical Requirements:</b><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><br>
<b>
Preferred Qualifications:</b><ul><li>
Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience running queries against data (preferably with Google BigQuery or SQL)</li><li>
Experience in predictive modeling, data mining and data analysis</li><li>
Experience with data visualization software (preferably Tableau)</li><li>
Experience utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Basic knowledge or exposure to predictive modeling, data mining and data analysis</li></ul><br>
<b>
Minimum Education:</b><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
0</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Associate Data Scientist - Tools & Automation

Breckenridge Grand Vacations

<div>Description:
<p><b>
Data Scientist</b></p><p><b>
Location:</b> Lincoln West Mall</p><p><b>
Position Type:</b> Full-Time Exempt</p><p><b>
Compensation:</b> $95,160 - $119,080 (DOE)</p><p><b>
This position has a target start date in June 2026.</b></p><p><b>
About the Role:</b></p><p>
At Breckenridge Grand Vacations, we create Grand Vacations by Sharing Smiles with every Owner, Guest, and coworker. As our Data Scientist within the Finance/Analytics division, you will be the cornerstone of this mission, translating our passion for hospitality into the data-driven strategies that power our business. You will be the architect of analytical innovation, leading end-to-end solutions that optimize revenue, deepen guest engagement, and drive operational excellence.</p><p>
This role is perfect for a quantitative leader who is equal parts strategist, technical expert, and collaborative partner. You will take ownership of the entire analytics ecosystem&mdash;from building forecasting and propensity models to designing production-ready data pipelines and dashboards&mdash;always acting with our 'End of the Line' philosophy to ensure your insights lead directly to tangible business outcomes.</p><p>
If you thrive on solving complex business challenges, are driven by transforming raw data into actionable intelligence, and find deep satisfaction in empowering leaders across Finance, Marketing, and Sales to make smarter decisions, we&rsquo;d love to meet you.</p><p><b>
Responsibilities:</b></p><ul><li>
Lead end-to-end analytics projects, from gathering business requirements and designing datasets to developing models and supporting deployment and monitoring.</li><li>
Build and maintain forecasting, segmentation, and propensity models to support revenue management, marketing performance, pricing, occupancy, and customer engagement.</li><li>
Create reusable, production-ready analytics assets, including SQL queries, data pipelines, and model artifacts.</li><li>
Partner with IT, data engineers, and business stakeholders to architect solutions, optimize data flows, and ensure data quality in production environments.</li><li>
Author and optimize complex SQL queries, stored procedures, and ETL logic to support BI tools and reporting needs.</li><li>
Design, develop, and maintain interactive dashboards and visualizations in Tableau to drive KPI awareness and support decision-making.</li><li>
Produce clear reports and presentations that translate complex analyses into actionable recommendations for managers and executives.</li><li>
Write test plans and thorough documentation for analytical code, models, and processes; participate in code reviews and adhere to change-control practices.</li><li>
 Provide responsive, high-quality internal customer service by promptly addressing stakeholder requests and following through on open issues.</li><li>
Uphold company hospitality values by fostering positive, respectful, and proactive interactions with all team members and partners.</li><li>
Support sustainability, philanthropy, and community initiatives as part of the company&rsquo;s commitment to creating a positive impact.</li></ul>
Requirements:
<ul><li>A Master&rsquo;s degree in a quantitative or business discipline (e.g., Statistics, Mathematics, Economics, Computer Science), OR 3+ years of experience delivering enterprise analytics solutions.</li><li>
Proven experience leading end-to-end analytics projects, including gathering business requirements, designing analytical datasets, developing models, and supporting deployment.</li><li>
Strong proficiency in SQL for querying, data manipulation, and supporting BI environments.</li><li>
Experience developing and maintaining predictive models such as forecasting, segmentation, and propensity models.</li><li>
Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical and executive audiences.</li><li>
Strong analytical reasoning and attention to detail, with the ability to define problems, analyze data, and draw valid conclusions.</li><li>
Demonstrated ability to translate business questions into analytical solutions, dashboards, and actionable insights.</li><li>
Proven ability to work cross-functionally with IT, data engineers, and business stakeholders to deliver scalable solutions.</li><li>
Proficiency with data visualization and reporting tools (e.g., Tableau) to communicate insights clearly.</li><li>
Ability to prioritize and manage multiple initiatives while exercising sound independent judgment on technical and business trade-offs.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Hands-on experience with MSSQL Server, SSIS/SSRS, and programming for data analysis in Python or R.</li><li>
Experience authoring dashboards in Tableau and supporting Tableau Server administration.</li><li>
Experience working with CRM or reservation systems and integrating multi-source data for enterprise reporting.</li><li>
Familiarity with CI/CD pipelines, source control (e.g., Git), and model deployment best practices.</li><li>
Experience delivering analytics solutions across functions such as marketing, finance, sales, and operations.</li></ul><p><b>
Compensation &amp; Benefits:</b></p><ul><li>
Health, vision, and dental insurance plans</li><li>
Company-paid life insurance coverage</li><li>
Voluntary Life and Accidental Death/Dismemberment Insurance</li><li>
HSA and FSA-Dependent Care Accounts</li><li>
Retirement plan</li><li>
Generous paid time off (PTO) and sick leave to support work-life balance</li><li>
Volunteer Time Off - Paid opportunities to give back to Summit County</li><li>
Bereavement leave</li><li>
Biannual bonuses</li><li>
Tuition Reimbursement Program</li><li>
Employee Wellness programs to support physical and mental health</li><li>
Lifestyle perks: Ski/Rec center pass loan programs, lodging and gear discounts, sporting/concert event tickets, pet insurance partner discounts and access to Summit Medallions: Occasional-use transferable passes for access to 6 premier resorts (A-Basin to Vail) via owners&rsquo; program</li></ul><p><b>
About Our Company:</b></p><p>
Breckenridge Grand Vacations is a locally owned resort developer with a 40-year history in Summit County. We've been recognized as a Top Workplace for our employee-focused culture and commitment to responsible growth and giving back to the place we call home.</p><p>
Applications will be accepted until March 18, 2026.</p><p>
We value diversity and welcome applicants from all backgrounds. Equal Opportunity Employer.</p></div>

Nexzentek

<div><div><div><div><div><div><div><div><div><div><div><div><ul><div><div>Job Openings:
<div>1</div><br>
</div></div><div><div>Experience:
<div>10-11</div><div>
Yrs</div><br>
</div></div><div><div>Published On:
<div>Mar 11, 2026, 02:54 pm</div>
</div></div></ul></div></div></div></div><div></div><div><p>Job Description</p>
<p>Job Title/Designation: <b>Data Scientist (AI/ML)</b><br>
<br>
Job Role: <b>Senior Data Scientist</b><br>
<br>
Education: <b>Bacheloer's</b><br>
<br>
No. Of Positions: <b>1</b><br>
<br>
Experience: <b>10 - 11 years</b><br>
<br>
Rate: <b>$60/hour (Fixed)</b></p><br>
</div></div></div><div><div><div><div><div><div><p>Skills</p>
<ul><li>Python
</li><li>AI/ML
</li></ul></div><div></div><div><p>Work Location</p>
 <div></div><div>Hybrid (San Jose, California, California, United States)</div></div></div></div></div></div></div></div></div></div></div></div></div>

Data Scientist (AI/ML)

Meta

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 <br/>
 <br/>
 Data Scientist, Product Analytics Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
  </li>
  <li>
   Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
  </li>
  <li>
   Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
  </li>
  <li>
   Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
  </li>
  <li>
   Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  </li>
  <li>
   Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
  </li>
  <li>
   2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  </li>
  <li>
   2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors &amp; long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Master's or Ph.D. Degree in a quantitative field
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $119,000/year to $173,000/year + bonus + equity + benefits
 <br/>
 <br/>
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Data Scientist, Product Analytics

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