Data Scientist II or III, Program Evaluation
E Source · United States · 3 wk ago
RemoteRemoteInformation Technology$85k–$130k/yrFull-time
We need to output HTML fragment with sections: headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Remove boilerplate, navigation, EEO, etc. Also remove duplicated lines, application instructions. Keep all substantive info.
Let's parse the posting.
First paragraph: "At E Source, we help utilities make sense of complexity..." This is about the company. Could be "About the role"? Actually "About the role" maybe not. Could be "About the company". But we only have allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can use "About the role" for description of role and company? Probably we can put company overview under "About the role". Or we could skip if not exactly matching. But we need to preserve substantive info. The instruction: "use
for each section heading. Use
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Remove boilerplate, navigation, EEO, etc. Also remove duplicated lines, application instructions. Keep all substantive info.
Let's parse the posting.
First paragraph: "At E Source, we help utilities make sense of complexity..." This is about the company. Could be "About the role"? Actually "About the role" maybe not. Could be "About the company". But we only have allowed headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can use "About the role" for description of role and company? Probably we can put company overview under "About the role". Or we could skip if not exactly matching. But we need to preserve substantive info. The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It says e.g., meaning those are examples; we can use those headings if appropriate. We should not invent headings not in list? It says use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Likely they expect us to use those headings when appropriate. We can also use other headings? Probably safer to stick to those.
We need to decide which sections have content.
- About the role: we can include description of role and company overview.
- Responsibilities: bullet list of duties.
- Requirements: maybe "You’re Likely a Great Fit If You Are ..." and "And Even Better If You Have ..." could be qualifications/skills. But we have separate Qualifications and Skills headings. We need to map.
The posting includes:
- "In This Role, You Will" list of responsibilities.
- "You’re Likely a Great Fit If You Are ..." list of traits.
- "And Even Better If You Have ..." list of nice-to-have.
- "Experience And Skills To Qualify Include" list: advanced degree, 3+ years experience, expertise with R, Python, SQL, etc.
- Benefits: "What You Can Expect" includes insurance, FTO, 401k match.
- Pay: "The budgeted salary for this position is $85,000 – $130,000 USD + annual bonus. Actual pay will be adjusted based on experience."
- Schedule: "This role will be 100% remote, with infrequent travel (generally 1-2 times per year)."
Thus we have sections: About the role (maybe company overview), Responsibilities, Requirements (maybe combine qualifications and experience?), Qualifications (education/experience), Skills (technical skills), Benefits, Pay, Schedule.
We must not repeat job title as heading. No Job ID.
We must remove boilerplate: EEO statement, "All qualified applicants will receive consideration..." etc. Also remove "Employees of E Source are encouraged to apply..." etc. Also remove "We contact applicants directly via email..." etc. Also remove "Compensation Range: $85K - $130K" duplicate.
We must preserve all substantive info.
Let's extract substantive content:
Company overview: "At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we're looking for a Data Scientist to help shape how that impact shows up in the world. E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. We help utilities target and serve their customers more effectively, enhance and optimize their grid, and leverage operating best practices and technologies to manage their business more effectively. Headquartered in Texas, we have 450+ employees across the US and Canada. Learn more at www.esource.com"
Role description: "As a Data Scientist, you'll leverage your academic training, applied experience, and passion for data science to deploy a range of econometric, statistical, and predictive analytic methods in support of our energy utility clients' customer programs teams. This role is ideal for someone who is equally comfortable building a rigorous model and explaining what it means to a non-technical audience."
Responsibilities (In This Role, You Will):
- Turn data into insight, analyzing why things happened and predicting what could happen in alternative scenarios.
- Develop, validate, and apply econometric and machine learning models to answer client research questions.
- Conduct data exploration and evaluate data sufficiency for analysis and modeling.
- Describe complex data and modeling concepts in writing and presentation formats to a wide audience, using data to inform critical client decisions.
- Exhibit critical thinking and curiosity, including considering how your technical work fits within the larger context of the project, the client, and our industry.
- Conduct quality control of your work, apply effective practices to minimize errors, and participate in the peer code review process to ensure high-quality deliverables.
You’re Likely a Great Fit If You Are:
- passionate about creative and rigorous applications of data analytics.
- Have exceptional attention to detail and a demonstrated ability to independently implement analytical approaches with limited guidance.
- Are highly motivated, with a demonstrated track record of thinking critically about your work.
- Have strong written and oral communication skills, including the ability to communicate with people at all levels of statistical knowledge in the organization.
- Can carry out and prioritize multiple assigned tasks and deadlines simultaneously and flexibly.
And Even Better If You Have:
- experience with version control software, such as Git, and collaborative code development.
- Have experience with Databricks or Spark.
- Have coursework or applied experience in the energy industry, including impact evaluation of energy efficiency, demand response, and/or distributed energy resources programs and initiatives.
Experience And Skills To Qualify Include:
- Hold an advanced degree in economics, statistics, data science, quantitative social science, or another quantitative field (a bachelor's degree plus industry experience will be considered).
- Have three or more years of experience in a data science or analytics-related role.
- Have expertise with R, Python, SQL, or other programming languages to merge, clean, and model large and complex data sets.
Benefits (What You Can Expect):
- Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; medical and dependent-care flexible spending plans, and paid parental leave.
- A flexible time off (FTO) policy that provides paid time away from work, approved by your manager, while ensuring business needs, workload commitments, and appropriate coverage are maintained.
- A 401(k) plan with a 3% employer match.
Pay:
- The budgeted salary for this position is $85,000 – $130,000 USD + annual bonus. Actual pay will be adjusted based on experience.
Schedule:
- This role will be 100% remote, with infrequent travel (generally 1-2 times per year).
Also note: "Applicants must be authorized to work for any employer in the US or Canada. We’re unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn) at this time." This is substantive but maybe not fitting any heading; could be part of Requirements? Could be under Requirements as eligibility. But we have no specific heading for work authorization. Could include under Requirements as a bullet. The instruction: preserve ALL substantive information. So we need to include that somewhere. Perhaps under Requirements (or Qualifications) as a bullet.
Also "All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran." That's EEO boilerplate; we should remove per instruction: remove EEO/equal-opportunity boilerplate.
Also "Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. If you are interested in similar job opportunities in the future, visit the E Source careers page for a listing of all open positions and contact Human Resources. We contact applicants directly via email using only our designated company email addresses with the domain of @esource.com. Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses." This is application instructions / boilerplate; remove.
Also duplicate "Compensation Range: $85K - $130K" remove.
Now we need to output HTML fragment only, no markdown fences.
We'll structure:
About the role
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Likely they expect us to use those headings when appropriate. We can also use other headings? Probably safer to stick to those.
We need to decide which sections have content.
- About the role: we can include description of role and company overview.
- Responsibilities: bullet list of duties.
- Requirements: maybe "You’re Likely a Great Fit If You Are ..." and "And Even Better If You Have ..." could be qualifications/skills. But we have separate Qualifications and Skills headings. We need to map.
The posting includes:
- "In This Role, You Will" list of responsibilities.
- "You’re Likely a Great Fit If You Are ..." list of traits.
- "And Even Better If You Have ..." list of nice-to-have.
- "Experience And Skills To Qualify Include" list: advanced degree, 3+ years experience, expertise with R, Python, SQL, etc.
- Benefits: "What You Can Expect" includes insurance, FTO, 401k match.
- Pay: "The budgeted salary for this position is $85,000 – $130,000 USD + annual bonus. Actual pay will be adjusted based on experience."
- Schedule: "This role will be 100% remote, with infrequent travel (generally 1-2 times per year)."
Thus we have sections: About the role (maybe company overview), Responsibilities, Requirements (maybe combine qualifications and experience?), Qualifications (education/experience), Skills (technical skills), Benefits, Pay, Schedule.
We must not repeat job title as heading. No Job ID.
We must remove boilerplate: EEO statement, "All qualified applicants will receive consideration..." etc. Also remove "Employees of E Source are encouraged to apply..." etc. Also remove "We contact applicants directly via email..." etc. Also remove "Compensation Range: $85K - $130K" duplicate.
We must preserve all substantive info.
Let's extract substantive content:
Company overview: "At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we're looking for a Data Scientist to help shape how that impact shows up in the world. E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. We help utilities target and serve their customers more effectively, enhance and optimize their grid, and leverage operating best practices and technologies to manage their business more effectively. Headquartered in Texas, we have 450+ employees across the US and Canada. Learn more at www.esource.com"
Role description: "As a Data Scientist, you'll leverage your academic training, applied experience, and passion for data science to deploy a range of econometric, statistical, and predictive analytic methods in support of our energy utility clients' customer programs teams. This role is ideal for someone who is equally comfortable building a rigorous model and explaining what it means to a non-technical audience."
Responsibilities (In This Role, You Will):
- Turn data into insight, analyzing why things happened and predicting what could happen in alternative scenarios.
- Develop, validate, and apply econometric and machine learning models to answer client research questions.
- Conduct data exploration and evaluate data sufficiency for analysis and modeling.
- Describe complex data and modeling concepts in writing and presentation formats to a wide audience, using data to inform critical client decisions.
- Exhibit critical thinking and curiosity, including considering how your technical work fits within the larger context of the project, the client, and our industry.
- Conduct quality control of your work, apply effective practices to minimize errors, and participate in the peer code review process to ensure high-quality deliverables.
You’re Likely a Great Fit If You Are:
- passionate about creative and rigorous applications of data analytics.
- Have exceptional attention to detail and a demonstrated ability to independently implement analytical approaches with limited guidance.
- Are highly motivated, with a demonstrated track record of thinking critically about your work.
- Have strong written and oral communication skills, including the ability to communicate with people at all levels of statistical knowledge in the organization.
- Can carry out and prioritize multiple assigned tasks and deadlines simultaneously and flexibly.
And Even Better If You Have:
- experience with version control software, such as Git, and collaborative code development.
- Have experience with Databricks or Spark.
- Have coursework or applied experience in the energy industry, including impact evaluation of energy efficiency, demand response, and/or distributed energy resources programs and initiatives.
Experience And Skills To Qualify Include:
- Hold an advanced degree in economics, statistics, data science, quantitative social science, or another quantitative field (a bachelor's degree plus industry experience will be considered).
- Have three or more years of experience in a data science or analytics-related role.
- Have expertise with R, Python, SQL, or other programming languages to merge, clean, and model large and complex data sets.
Benefits (What You Can Expect):
- Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; medical and dependent-care flexible spending plans, and paid parental leave.
- A flexible time off (FTO) policy that provides paid time away from work, approved by your manager, while ensuring business needs, workload commitments, and appropriate coverage are maintained.
- A 401(k) plan with a 3% employer match.
Pay:
- The budgeted salary for this position is $85,000 – $130,000 USD + annual bonus. Actual pay will be adjusted based on experience.
Schedule:
- This role will be 100% remote, with infrequent travel (generally 1-2 times per year).
Also note: "Applicants must be authorized to work for any employer in the US or Canada. We’re unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn) at this time." This is substantive but maybe not fitting any heading; could be part of Requirements? Could be under Requirements as eligibility. But we have no specific heading for work authorization. Could include under Requirements as a bullet. The instruction: preserve ALL substantive information. So we need to include that somewhere. Perhaps under Requirements (or Qualifications) as a bullet.
Also "All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran." That's EEO boilerplate; we should remove per instruction: remove EEO/equal-opportunity boilerplate.
Also "Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. If you are interested in similar job opportunities in the future, visit the E Source careers page for a listing of all open positions and contact Human Resources. We contact applicants directly via email using only our designated company email addresses with the domain of @esource.com. Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses." This is application instructions / boilerplate; remove.
Also duplicate "Compensation Range: $85K - $130K" remove.
Now we need to output HTML fragment only, no markdown fences.
We'll structure:
About the role
... company overview + role description ...
Responsibilities
- ... ...
Requirements
Maybe combine "You’re Likely a Great Fit If You Are" and "And Even Better If You Have" and work authorization? But we also have Qualifications and Skills sections. Could separate: - Qualifications: education + years experience. - Skills: technical skills (R, Python, SQL, etc.) plus maybe version control, Databricks/Spark, energy industry experience. - Requirements: maybe the "You’re Likely a Great Fit If You Are" (soft skills) and work authorization. But we have headings: Qualifications, Skills, Requirements. We'll use them. Thus:Qualifications
- Hold an advanced degree in economics, statistics, data science, quantitative social science, or another quantitative field (a bachelor's degree plus industry experience will be considered).
- Have three or more years of experience in a data science or analytics-related role.
Skills
- Expertise with R, Python, SQL, or other programming languages to merge, clean, and model large and complex data sets.
- Experience with version control software, such as Git, and collaborative code development.
- Experience with Databricks or Spark.
- Coursework or applied experience in the energy industry, including impact evaluation of energy efficiency, demand response, and/or distributed energy resources programs and initiatives.
Requirements
- Passionate about creative and rigorous applications of data analytics.
- Exceptional attention to detail and a demonstrated ability to independently implement analytical approaches with limited guidance.
- Highly motivated, with a demonstrated track record of thinking critically about your work.
- Strong written and oral communication skills, including the ability to communicate with people at all levels of statistical knowledge in the organization.
- Ability to carry out and prioritize multiple assigned tasks and deadlines simultaneously and flexibly.
- Authorized to work for any employer in the US or Canada (no visa sponsorship available).
for each section heading. Use - for lists. Use
for prose.
We need to include company overview and role description in About the role paragraph(s). Could be two paragraphs but we can combine into one
with multiple sentences.
Let's craft:
About the role:
At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we're looking for a Data Scientist to help shape how that impact shows up in the world. E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. We help utilities target and serve their customers more effectively, enhance and optimize their grid, and leverage operating best practices and technologies to manage their business more effectively. Headquartered in Texas, we have 450+ employees across the US and Canada. Learn more at www.esource.com. As a Data Scient
for prose. We need to include company overview and role description in About the role paragraph(s). Could be two paragraphs but we can combine into one
with multiple sentences. Let's craft: About the role:
At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we're looking for a Data Scientist to help shape how that impact shows up in the world. E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the utility industry in the US and Canada. We help utilities target and serve their customers more effectively, enhance and optimize their grid, and leverage operating best practices and technologies to manage their business more effectively. Headquartered in Texas, we have 450+ employees across the US and Canada. Learn more at www.esource.com. As a Data Scient