
R&D - Data Scientist
LanceSoft · Remote, CA
Strong hiring record · median 1 days open
All reasons
In its favour
- Posted today
- Still listed on the employer's own board
- Publishes a salary range
Shift
Monday- Friday, standard 1st shift working hours
Duration
06 Months
Pay range
$40.00 Hourly - $40.00 Hourly
100% Remote Job role
Job Description
We require a highly skilled data scientist/analyst to robustly support our digital marketing strategy team. The successful candidate must excel in analyzing extensive data sets to identify opportunities for targeted and scalable marketing and sales initiatives. This includes extracting valuable insights to guide the development of Marketing and Sales programs.
The ideal candidate will not only possess robust expertise in various data mining and analysis methodologies, but also a comprehensive knowledge of algorithm creation and usage. They should be adept at crafting and running simulations and have a proven track record of driving business outcomes through data-based insights. Equally important, they should thrive in a collaborative environment and be comfortable working with diverse cross-functional teams and partners.
We are looking for a candidate with strong data analysis skills and a deep-seated passion for improving business outcomes through collaborative teamwork. This role is crucial to our company's success, and we want someone who shares our commitment to excellence.
Objectives of this role
- Collaborate with the marketing and sales teams to understand their needs. Partner with Marketing Operations and business stakeholders to establish standardized definitions for marketing and sales KPIs.
- Use statistical models for data analysis, both descriptive and inferential purposes.
- Design and conduct experiments to make causal inferences.
- Develop visualizations to present the results of data analysis and experiments.
Responsibilities
- Analyze Marketing and Sales performance across the customer lifecycle, including acquisition, engagement, lead generation, qualification, pipeline creation, opportunity progression and conversion.
- Identify trends, performance gaps, anomalies and opportunities across campaigns, audiences, segments, accounts and geographies.
- Develop and maintain funnel reporting that connects marketing activity to sales outcomes and business performance.
- Identify relevant data sources and sets to mine for internal- and external customer needs and collect large structured and unstructured datasets and variables.
- Devise and apply algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
- Use machine learning models to understand trends, segmentation, forecasting, and behavioral maps.
- Create PowerBI dashboards for data visualization.
Required skills and qualifications
- Knowledge of digital marketing and marketing automation platforms like Adobe Analytics, Claravine, Eloqua, Hubspot or Hubspot, including campaign, contact, lifecycle and engagement data.
- Advanced experience working with CRM platforms, preferably Salesforce (SFDC), including reporting, dashboards, campaign structures, lead/contact/account/opportunity objects, and understanding of the underlying CRM data model.
- Strong understanding of how CRM data is generated, structured and connected across Marketing and Sales processes.
- Ability to independently build, troubleshoot and optimize CRM reports and dashboards for Marketing and Sales stakeholders.
- Technical and
- Proficiency with data mining, mathematics, and statistical analysis
- Experience in pattern recognition and predictive modeling through machine learning.
- Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Python, SAS)
- Ability to work effectively in a dynamic, innovative group that runs global, cross-functional projects.
- Preferred skills and qualificationsBachelor's degree (or equivalent) in statistics, applied mathematics, or related field.
- Two or more years of project management experience.
- Two or more years of data analytics or data science experience.
Employee Benefits
At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits:
- Four options of medical Insurance
- Dental and Vision Insurance
- 401k Contributions
- Critical Illness Insurance
- Voluntary Permanent Life Insurance
- Accident Insurance
- Other Employee Perks
About LanceSoft
LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right busin
Skills
- Python
- SAS
- SQL
- Excel
- PowerPoint
- Tableau
- PowerBI
- Adobe Analytics
- Claravine
- Eloqua
- Hubspot
- Salesforce
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