Sr. Data Scientist

Highspot helps sales teams improve customer conversations and achieve their revenue goals. From content optimization and performance analytics to in-context training, guided selling, and more, the Highspot platform delivers enterprise-ready features in a modern design that sales reps and marketers love. Using Highspot, marketing leaders have deep insights and analytics into the performance and influenced revenue of content, campaigns, and marketing assets.  What makes the solution special? It’s loved by sales reps globally, and is the #1 rated sales enablement platform on G2 Crowd. 

 

We are committed to diversity as both a moral and business imperative. 

 

The Data & Services Engineering (DSE) Team is on the mission of building innovative solutions to drive growth and adoption of the Highspot platform, drive operational efficiency to scale our customer services organization, generate impactful analytics insights we can share with customers and industry, integrate & share curated data from our data warehouse to empower data-driven decision making across the organization. 

 

We are looking for a skilled and passionate Data Scientist with experience in the full spectrum of analytics maturity models (descriptive, diagnostic, predictive, and prescriptive analytics). You will apply state-of-the-art machine learning and operations research/optimization techniques to solve complex business problems. You will lead high-visibility high-impact projects, and work closely with a skilled and diverse group of domain experts, company leaders, software engineers, data analysts, data engineers, and beyond.

What You'll Do

• Partner with cross-functional teams, understand problems, and identify opportunities where advanced analytics and machine learning techniques can be used to make a significant impact and then design, develop, deploy and monitor those ML solutions.
• Own, drive and develop optimization models for solving complex multi-objective business problems
• Perform advanced statistical analysis, data mining, and visualization techniques to find actionable business insights
• Capture and inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
• Communicate data-driven insights and recommendations to key stakeholders.

Your Background

• Advanced degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Operations Research, or related quantitative fields.
• 5+ years experience in designing, developing and deploying production-grade machine learning solutions (Regression, Classification, Clustering, Dimensionality Reduction, Ensemble Methods, Neural Nets and Deep Learning, Natural Language Processing, Recommender systems, etc) for real-world business problems
• 2+ years of experience designing, developing, and evolving end-to-end optimization applications in an industry setting using commercial and open-source optimization solvers such as Gurobi, CPLEX, CVX, and Google OR-Tools
• 5+ years of experience with one scientific programming language (for example, Python, R, MATLAB) and one traditional programming language (for example, Java, C++, C#)
• Advanced knowledge of SQL to query and transform structured and unstructured data
• Expertise in statistical analysis and publishing business insights
• Combination of deep technical skills and business sense, to interface with all levels and disciplines within an organization.
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and solving impactful business problems
• Excellent written and verbal communication skills to explain complex research to both technical and non-technical audiences

Base salary range: $154,000 - $252,000. Employees are eligible to receive stock options and may also receive other forms of compensation.

 

The above represents total expected compensation for this role. Actual compensation will depend on various job-related factors, including, but not limited to, location, experience, and job qualifications.

 

Highspot also offers the following employee benefits for this position:

-Comprehensive medical, dental, vision, disability, and life benefits

-Health Savings Account (HSA) with employer contribution

-401(k) Matching with immediate vesting on employer match

-Unlimited PTO

-8 paid holidays and 5 paid days for Annual Holiday Week

-Quarterly Recharge Fridays (paid days off for mental health recharge)

-18 weeks paid parental leave

-Professional development opportunities through BetterUp and LinkedIn Learning

-Discounted ClassPass membership

-Access to Coaches and Therapists through Modern Health

-2 volunteer days per year

-Commuting benefits  

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation.

 

Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.