Hybrid Sr. Data Scientist Sr. Data Scientist with verification

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by

• providing the best services for homebuyers
• led by advantaged underwriting in insurance
• to protect the whole home
  
  

As a leader in the home services software-as-a-service (“SaaS”) space, we’ve built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies.

In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED.

Job Title: Senior Data Scientist

Location: India

Workplace Type: Remote

Job Summary

The future is bright for the Porch Group, and we’d love for you to be a part of it as our Senior Data Scientist.

he Senior Data Scientist will play a key role on the Data Operations team, building and maintaining predictive models that support multiple business lines under the Porch Group Media (PGM). In this role, the Senior Data Scientist will independently identify data requirements, create analytic files, estimate and deploy models, and maintain a library of algorithms to support various business needs. The role requires deep expertise in statistical modeling, data science techniques, and proficiency with Python to maintain and enhance algorithms across business units.

The ideal candidate will act as the subject-matter expert in predictive algorithms, ensuring their statistical soundness and business relevance. They will be able to explain the attributes driving predictions and offer insights into the causality behind the results. Projects may leverage both automated modeling platforms and Python, so proficiency in these tools is essential.

Success in this role requires the ability to develop project plans, commit to deadlines, and collaborate with teams to ensure continuous business operations.

What You Will Do As A Senior Data Scientist

• Own the development, deployment, and maintenance of predictive models driving Porch Pro and PGM audiences.
• Develop and maintain a roadmap of new algorithms to be created and deployed.
• Document all algorithms, including initial definitions, model summaries, and recommended cutoffs.
• Manage the regular updates of machine learning models, including data refreshes and code updates using Python.
• Lead discussions and project meetings with both internal and external stakeholders to kick off and deliver modeling projects.
• Ensure timely and accurate delivery of data science solutions, collaborating with the broader data operations and business teams.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights that influence business decisions. Develop predictive and prescriptive models to address business challenges.
• Design, implement, and optimize machine learning models, including supervised and unsupervised learning techniques, to solve various business problems such as customer segmentation, recommendation engines, and fraud detection.
• Apply advanced statistical methods, optimization techniques, and algorithms to drive product development, process optimization, and decision-making processes.
• Work closely with product managers, engineers, business analysts, and executives to understand business needs, translate them into analytical solutions, and ensure data-driven decision-making.
• Help define and evolve the organization’s data strategy by identifying new opportunities, selecting appropriate tools, and promoting best practices for data management and usage.
• Collaborate with data engineers to build and enhance data pipelines, ensuring the availability and quality of data for analysis.
• Create dashboards and reports to effectively communicate findings and insights to both technical and non-technical stakeholders.
  
  

What You Will Bring As A Senior Data Scientist

• Bachelor's Degree (or 4 years of relevant professional experience in lieu of) required; Master’s or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field strongly preferred.
• 8-12 years of experience in data science, with a focus on predictive modeling.
• Proficiency in programming languages, particularly SQL (any variation) and Python.
• Advanced skills in Microsoft Excel and PowerPoint for data analysis and presentations.
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, Py Torch).
• Knowledge of statistical analysis, hypothesis testing, and multivariate analysis.
• Expertise in visualization tools like Tableau, Power BI, or custom Python/R visualizations (e.g., matplotlib, seaborn, Plotly).
• Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences.
• Strong problem-solving and critical-thinking skills, with the ability to synthesize complex data and business problems into actionable insights.
• Experience with A/B testing, experimentation platforms, and causal inference.
• Familiarity with natural language processing (NLP), time-series forecasting, or deep learning techniques.
• Knowledge of DevOps practices for machine learning (MLOps), model deployment, and monitoring.
• High standards for commitment, quality, and simplicity in work.
• Demonstrates a growth mindset and actively participates in the PMG community.
• Proven experience working with US based business teams
• Excellent written and communication skills in English language
• Ability to work within core US business hours / time zone expectations - Eastern Standard Time (EST) overlap
  
  

This position is ideal for an experienced data scientist looking to make a significant impact in a fast-paced, data-driven environment. You’ll have the opportunity to shape the future of predictive analytics across multiple business lines while contributing to the ongoing success of the Porch Marketing Group.

The application window for this position is anticipated to close in 2 weeks (10 business days) from Nov 4, 2024. Please know this may change based on business and interviewing needs.

What You Will Get As A Porch Group Team Member

Our benefits package will provide you with comprehensive coverage for your health, life, and financial well-being.

• Our benefits include medical insurance, accident insurance and retiral benefits.
• Our wellness programs include 12 company-paid holidays, 2 flexible holidays, privilege/earned leave, casual/sick leave, paid maternity and paternity Leaves, and weekly wellness events.
  
  

What’s next?

Submit your application below and our Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have!

Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.

Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances.