Remote Jobs

ScienceLogic logo

Data Scientist

ScienceLogic

Location
United States of America
Posted

Data Scientist at ScienceLogic - leverage data to drive business outcomes with predictive models and machine learning algorithms.

Mapbox logo

Enterprise Account Executive

Mapbox

Location
United Kingdom
Posted

Sales professional to build relationships with strategic customers, source new business revenues, and expand adoption in key industry verticals.

Conga logo

Enterprise Account Executive

Conga

Location
Germany
Posted

Enterprise Account Executive for DACH region with 5+ years B2B technology sales experience, proficiency in revenue management principles, and knowledge of AI and machine learning.

Weights & Biases logo

Account Executive, Enterprise

Weights & Biases

Location
United States of America
Posted

SaaS software sales experience for large complex enterprise accounts

Cobalt logo

Enterprise Account Executive

Cobalt

Location
United States of America
Posted
Salary Range
154k - 193k USD

Sell Pentesting and Offensive Security services to Enterprise US customers, develop upsell strategies, and drive results in a supportive remote team environment.

COMPLY logo

Enterprise Account Executive

COMPLY

Posted
Salary Range
100k - 115k USD

Drive new business opportunities by selling compliance solutions to enterprise clients. Manage full sales cycle with a consultative approach and achieve revenue targets.

Muck Rack logo

Account Executive - Enterprise

Muck Rack

Location
United States of America
Posted
Salary Range
80k - 170k USD

Join Muck Rack as an Account Executive and drive growth through sales efforts in the enterprise segment.

Saviynt logo

Enterprise Account Executive

Saviynt

Location
Germany
Posted

Enterprise Territory Account Executive for Cloud Security & Access Governance solutions in Germany

Clari logo

Enterprise Account Executive

Clari

Location
United States of America
Posted
Salary Range
230k - 300k USD

Enterprise Account Executive at Clari - drive revenue growth through strategic sales & partnerships

Horizons logo

Account Executive EMEA

Horizons

Location
Cameroon
Posted

Join Horizons as an Account Executive and drive revenue growth in EMEA with a strong network of clients and partners in HR tech.

Reddit logo

Engineering Manager, Search Relevance

Reddit

Posted
Salary Range
230k - 322k USD

Lead the Search & Recommendation Relevance team at Reddit to enhance search relevance using ML/AI. Manage engineering teams, drive innovation in AI-driven search products, and ensure alignment with company objectives while providing exceptional benefits to employees.

Buynomics logo

Enterprise Account Executive (m/f/d)

Buynomics

Location
Croatia
Posted

Enterprise Account Executive for revenue optimization in leading industries, driving growth through strategic sales efforts and building lasting client relationships.

Coefficient logo

Community Lead + Video Creator

Coefficient

Location
British Virgin Islands
Posted

Join Coefficient as Community Lead + Video Creator & create engaging content for their modern spreadsheet platform

OfferFit logo

Account Executive (Director of Strategic Accounts)

OfferFit

Location
Brazil
Posted

Lead OfferFit's strategic accounts as an Account Executive, driving business growth through senior customer relationships and collaboration with internal teams to create leads and successful implementations.

OfferFit logo

Account Executive (Director of Strategic Accounts)

OfferFit

Location
Canada
Posted
Salary Range
125k - 340k USD

Lead OfferFit's strategic accounts as an Account Executive, driving business growth through customer relationships and cross-functional collaboration. Enjoy a competitive salary, flexible remote work, and comprehensive benefits.

Clipboard Health logo

Senior Mid-Market Account Executive

Clipboard Health

Location
British Virgin Islands
Posted

Senior Mid-Market Account Executive at Clipboard Health: drive growth through prospecting, negotiation, and onboarding.

ScienceLogic logo

Data Scientist

ScienceLogic

Job Summary

ScienceLogic is seeking an experienced Data Scientist to join their team, where you will leverage data to uncover insights, build predictive models, and support data-driven decision-making. As a Data Scientist at ScienceLogic, you will analyze complex datasets, build, validate, and deploy predictive models and machine learning algorithms, and collaborate with cross-functional teams to understand business needs. You will also work on feature engineering, data preparation, model deployment, and monitoring, as well as continuous learning and innovation. The ideal candidate has a minimum of 3 years of experience in data science, machine learning, or a related field, and possesses strong skills in statistical analysis, predictive modeling, Python, R, and machine learning libraries such as scikit-learn, Tensorflow, or PyTorch. ScienceLogic offers a remote-first culture, comprehensive benefits, and opportunities for growth and development. If you are passionate about turning data into actionable insights and enjoy working in a collaborative environment, this role is for you.

*This position can be remote within the US*

Who we are...

ScienceLogic is seeking an experienced Data Scientist to join our team, where you will leverage data to uncover insights, build predictive models, and support data-driven decision-making. This role involves working closely with cross-functional teams to understand business needs, apply statistical analysis, and deploy machine learning solutions. If you are passionate about turning data into actionable insights and enjoy working in a collaborative environment, this role is for you.

 

What you’ll be doing…

  • Data Analysis & Modeling:

    • Analyze complex datasets to extract actionable insights that inform business strategies and operational improvements.

    • Build, validate, and deploy predictive models and machine learning algorithms tailored to solve business problems.

    • Use statistical techniques and data visualization to communicate findings and recommendations to stakeholders.

    • Feature Engineering & Data Preparation:

    • Identify relevant data sources and work with data engineering teams to gather and preprocess data for analysis.

    • Perform feature engineering, data transformation, and data cleaning to prepare datasets for modeling.

    • Work with structured and unstructured data from various sources.

    • Model Deployment & Monitoring:

    • Collaborate with software engineers and DevOps to deploy models into production environments.

    • Monitor the performance of models over time, recalibrating and optimizing them as necessary.

    • Design and implement A/B testing frameworks to evaluate model effectiveness and impact.

    • Continuous Learning & Innovation:

    • Stay up-to-date with advancements in data science, machine learning, and AI technologies.

    • Experiment with new techniques and tools to improve existing workflows and introduce innovative solutions.

 

Qualities you possess…

  • Minimum of 3 years of experience in data science, machine learning, or a related field.

  • Bachelors or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

  • Proven track record in building and deploying machine learning models and data analytics solutions.

  • Strong experience with statistical analysis and predictive modeling.

  • Proficiency in Python and/or R for data analysis and modeling.

  • Experience with machine learning libraries such as scikit-learn, Tensorflow or PyTorch.

As a plus, you have...

  • Experience with cloud platforms (AWS, GCP, or Azure) for data science and machine learning.

  • Familiarity with big data technologies like ClickHouse, Spark, Hadoop or Databricks.

  • Knowledge of deep learning techniques and NLP (Natural Language Processing).

  • Strong knowledge of SQL and experience with database querying.

  • Familiarity with data visualization tools (e.g. Tableau, Power BI, or Matplotlib).

Benefits & Perks

  • A remote-first culture - work from home or come into the office, it's totally up to you.

  • Comprehensive medical, dental and vision plans.

  • 401(k) plan with employer match.

  • Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.

  • Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.

  • 5-year Service Milestone Sabbatical.

  • Paid parental leave.

  • Generous employee referral bonus program.

  • Pet insurance.

  • HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.

  • Regular virtual company-wide events, including cooking classes, yoga, meditation and more.

  • The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

Base Salary Range For This Role Is $175,000 - $195,000

About ScienceLogic

ScienceLogic empowers intelligent, automated IT operations, freeing up time and resources, and driving business outcomes with actionable insights. ScienceLogic’s AIOps platform sees broadly across clouds and on-premises, enabling business service visibility with relationship mapping, and workflow automation to eliminate manual tasks. Trusted by thousands of organizations across the globe, ScienceLogic’s technology has been proven for scale by the world’s largest service providers, enterprises and government agencies.

 

www.sciencelogic.com 

 

#LI-Remote

 

All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.