← Data Science — P1

Goal templates — Data Science — P1

Data Science & Analytics · Data Science · P1 — Entry-Level Professional

These are canon-derived frames, not advice: every line is either verbatim JobFrame canon text or a fixed template wrapping it. ⟨target⟩ / ⟨baseline⟩ / ⟨date⟩ are placeholders for the manager to fill in. Nothing here is generated by AI — rows are omitted, never invented, when the canon lacks the underlying field.

SMART goals

One row per canon core output / responsibility this level owns.

JFM responsibility (P1)

Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision.

Specific
Deliver: "Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision."
Measurable
Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
Achievable
Scoped to this level's jfm complexity/problem-solving rubric: "Solves routine problems with standard answers within models and analyses designed by others."
Relevant
Advances the Data Science & Analytics · Data Science mandate for a P1 — Entry-Level Professional.
Time-bound
⟨date⟩

JFM responsibility (P1)

Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels).

Specific
Deliver: "Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels)."
Measurable
Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
Achievable
Scoped to this level's jfm complexity/problem-solving rubric: "Solves routine problems with standard answers within models and analyses designed by others."
Relevant
Advances the Data Science & Analytics · Data Science mandate for a P1 — Entry-Level Professional.
Time-bound
⟨date⟩

JFM responsibility (P1)

Develops simple predictive models and runs analyses with step-by-step guidance.

Specific
Deliver: "Develops simple predictive models and runs analyses with step-by-step guidance."
Measurable
Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
Achievable
Scoped to this level's jfm complexity/problem-solving rubric: "Solves routine problems with standard answers within models and analyses designed by others."
Relevant
Advances the Data Science & Analytics · Data Science mandate for a P1 — Entry-Level Professional.
Time-bound
⟨date⟩

JFM responsibility (P1)

Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks.

Specific
Deliver: "Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks."
Measurable
Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
Achievable
Scoped to this level's jfm complexity/problem-solving rubric: "Solves routine problems with standard answers within models and analyses designed by others."
Relevant
Advances the Data Science & Analytics · Data Science mandate for a P1 — Entry-Level Professional.
Time-bound
⟨date⟩

JFM responsibility (P1)

Plans work a few weeks out and presents findings to peers and their manager.

Specific
Deliver: "Plans work a few weeks out and presents findings to peers and their manager."
Measurable
Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
Achievable
Scoped to this level's jfm complexity/problem-solving rubric: "Solves routine problems with standard answers within models and analyses designed by others."
Relevant
Advances the Data Science & Analytics · Data Science mandate for a P1 — Entry-Level Professional.
Time-bound
⟨date⟩
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1. Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision.  [source: JFM responsibility (P1)]
   Specific:    Deliver: "Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision."
   Measurable:  Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
   Achievable:  Scoped to this level's jfm complexity/problem-solving rubric: "Solves routine problems with standard answers within models and analyses designed by others."
   Relevant:    Advances the Data Science & Analytics · Data Science mandate for a P1 — Entry-Level Professional.
   Time-bound:  ⟨date⟩

2. Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels).  [source: JFM responsibility (P1)]
   Specific:    Deliver: "Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels)."
   Measurable:  Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
   Achievable:  Scoped to this level's jfm complexity/problem-solving rubric: "Solves routine problems with standard answers within models and analyses designed by others."
   Relevant:    Advances the Data Science & Analytics · Data Science mandate for a P1 — Entry-Level Professional.
   Time-bound:  ⟨date⟩

3. Develops simple predictive models and runs analyses with step-by-step guidance.  [source: JFM responsibility (P1)]
   Specific:    Deliver: "Develops simple predictive models and runs analyses with step-by-step guidance."
   Measurable:  Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
   Achievable:  Scoped to this level's jfm complexity/problem-solving rubric: "Solves routine problems with standard answers within models and analyses designed by others."
   Relevant:    Advances the Data Science & Analytics · Data Science mandate for a P1 — Entry-Level Professional.
   Time-bound:  ⟨date⟩

4. Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks.  [source: JFM responsibility (P1)]
   Specific:    Deliver: "Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks."
   Measurable:  Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
   Achievable:  Scoped to this level's jfm complexity/problem-solving rubric: "Solves routine problems with standard answers within models and analyses designed by others."
   Relevant:    Advances the Data Science & Analytics · Data Science mandate for a P1 — Entry-Level Professional.
   Time-bound:  ⟨date⟩

5. Plans work a few weeks out and presents findings to peers and their manager.  [source: JFM responsibility (P1)]
   Specific:    Deliver: "Plans work a few weeks out and presents findings to peers and their manager."
   Measurable:  Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
   Achievable:  Scoped to this level's jfm complexity/problem-solving rubric: "Solves routine problems with standard answers within models and analyses designed by others."
   Relevant:    Advances the Data Science & Analytics · Data Science mandate for a P1 — Entry-Level Professional.
   Time-bound:  ⟨date⟩

OKRs

Objectives from this level's core outputs; key results only where a real dimension or capability backs them.

JFM responsibility (P1)

Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision.

  • From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision."
  • Evidence at this level's scope bar: "Own tasks within a defined component" — ⟨target⟩ by ⟨date⟩

JFM responsibility (P1)

Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels).

  • From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels)."
  • Evidence at this level's autonomy bar: "Close supervision; work reviewed frequently" — ⟨target⟩ by ⟨date⟩

JFM responsibility (P1)

Develops simple predictive models and runs analyses with step-by-step guidance.

  • From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Develops simple predictive models and runs analyses with step-by-step guidance."
  • Evidence at this level's complexity bar: "Routine problems with known solutions" — ⟨target⟩ by ⟨date⟩

JFM responsibility (P1)

Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks.

  • From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks."
  • Evidence at this level's impact bar: "Own deliverables" — ⟨target⟩ by ⟨date⟩

JFM responsibility (P1)

Plans work a few weeks out and presents findings to peers and their manager.

  • From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Plans work a few weeks out and presents findings to peers and their manager."
  • Evidence at this level's decision rights bar: "Few independent decisions; escalates the rest" — ⟨target⟩ by ⟨date⟩
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Objective 1: Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision.  [source: JFM responsibility (P1)]
  KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision."
  KR2. Evidence at this level's scope bar: "Own tasks within a defined component" — ⟨target⟩ by ⟨date⟩

Objective 2: Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels).  [source: JFM responsibility (P1)]
  KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels)."
  KR2. Evidence at this level's autonomy bar: "Close supervision; work reviewed frequently" — ⟨target⟩ by ⟨date⟩

Objective 3: Develops simple predictive models and runs analyses with step-by-step guidance.  [source: JFM responsibility (P1)]
  KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Develops simple predictive models and runs analyses with step-by-step guidance."
  KR2. Evidence at this level's complexity bar: "Routine problems with known solutions" — ⟨target⟩ by ⟨date⟩

Objective 4: Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks.  [source: JFM responsibility (P1)]
  KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks."
  KR2. Evidence at this level's impact bar: "Own deliverables" — ⟨target⟩ by ⟨date⟩

Objective 5: Plans work a few weeks out and presents findings to peers and their manager.  [source: JFM responsibility (P1)]
  KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Plans work a few weeks out and presents findings to peers and their manager."
  KR2. Evidence at this level's decision rights bar: "Few independent decisions; escalates the rest" — ⟨target⟩ by ⟨date⟩

MBO areas

Key result areas from this level's responsibilities, each with a standard grounded in the canon leveling rubric where one exists.

AreaStandardTargetDue
Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision.Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistics, Python/SQL, and basic modeling to well-defined tasks; knows the data and standard tools well enough to deliver bounded analyses."⟨target⟩⟨date⟩
Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels).Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistics, Python/SQL, and basic modeling to well-defined tasks; knows the data and standard tools well enough to deliver bounded analyses."⟨target⟩⟨date⟩
Develops simple predictive models and runs analyses with step-by-step guidance.Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistics, Python/SQL, and basic modeling to well-defined tasks; knows the data and standard tools well enough to deliver bounded analyses."⟨target⟩⟨date⟩
Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks.Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistics, Python/SQL, and basic modeling to well-defined tasks; knows the data and standard tools well enough to deliver bounded analyses."⟨target⟩⟨date⟩
Plans work a few weeks out and presents findings to peers and their manager.Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistics, Python/SQL, and basic modeling to well-defined tasks; knows the data and standard tools well enough to deliver bounded analyses."⟨target⟩⟨date⟩
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1. Area: Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision.  [source: JFM responsibility (P1) — reused, no distinct responsibility content]
   Standard: Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistics, Python/SQL, and basic modeling to well-defined tasks; knows the data and standard tools well enough to deliver bounded analyses."
   Target:   ⟨target⟩   Due: ⟨date⟩

2. Area: Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels).  [source: JFM responsibility (P1) — reused, no distinct responsibility content]
   Standard: Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistics, Python/SQL, and basic modeling to well-defined tasks; knows the data and standard tools well enough to deliver bounded analyses."
   Target:   ⟨target⟩   Due: ⟨date⟩

3. Area: Develops simple predictive models and runs analyses with step-by-step guidance.  [source: JFM responsibility (P1) — reused, no distinct responsibility content]
   Standard: Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistics, Python/SQL, and basic modeling to well-defined tasks; knows the data and standard tools well enough to deliver bounded analyses."
   Target:   ⟨target⟩   Due: ⟨date⟩

4. Area: Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks.  [source: JFM responsibility (P1) — reused, no distinct responsibility content]
   Standard: Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistics, Python/SQL, and basic modeling to well-defined tasks; knows the data and standard tools well enough to deliver bounded analyses."
   Target:   ⟨target⟩   Due: ⟨date⟩

5. Area: Plans work a few weeks out and presents findings to peers and their manager.  [source: JFM responsibility (P1) — reused, no distinct responsibility content]
   Standard: Consistent with this level's jfm knowledge-application rubric: "Applies foundational statistics, Python/SQL, and basic modeling to well-defined tasks; knows the data and standard tools well enough to deliver bounded analyses."
   Target:   ⟨target⟩   Due: ⟨date⟩

Scorecard

Only perspectives with real canon backing are shown — no Financial or Customer perspective, since nothing in the canon grounds business-financial or customer measures for a role alone.

Internal process

  • "Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision."→ ⟨target⟩ by ⟨date⟩
  • "Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels)."→ ⟨target⟩ by ⟨date⟩
  • "Develops simple predictive models and runs analyses with step-by-step guidance."→ ⟨target⟩ by ⟨date⟩
  • "Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks."→ ⟨target⟩ by ⟨date⟩
  • "Plans work a few weeks out and presents findings to peers and their manager."→ ⟨target⟩ by ⟨date⟩

Role calibration

  • Meets the scope bar: "Own tasks within a defined component"→ ⟨target⟩ by ⟨date⟩
  • Meets the autonomy bar: "Close supervision; work reviewed frequently"→ ⟨target⟩ by ⟨date⟩
  • Meets the complexity bar: "Routine problems with known solutions"→ ⟨target⟩ by ⟨date⟩
  • Meets the impact bar: "Own deliverables"→ ⟨target⟩ by ⟨date⟩
  • Meets the decision rights bar: "Few independent decisions; escalates the rest"→ ⟨target⟩ by ⟨date⟩
  • Meets the leadership bar: "None — building the craft"→ ⟨target⟩ by ⟨date⟩
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Internal process
  - "Works on clear, well-defined tasks within analyses or models designed by a manager or senior data scientist, under close supervision."  →  ⟨target⟩ by ⟨date⟩   [source: JFM responsibility (P1)]
  - "Writes SQL queries to calculate defined metrics such as customer churn rates and creates dashboards (e.g., purchases across marketing channels)."  →  ⟨target⟩ by ⟨date⟩   [source: JFM responsibility (P1)]
  - "Develops simple predictive models and runs analyses with step-by-step guidance."  →  ⟨target⟩ by ⟨date⟩   [source: JFM responsibility (P1)]
  - "Learns organizational tools, data sources, and processes; gets to know the data well enough to deliver against bounded tasks."  →  ⟨target⟩ by ⟨date⟩   [source: JFM responsibility (P1)]
  - "Plans work a few weeks out and presents findings to peers and their manager."  →  ⟨target⟩ by ⟨date⟩   [source: JFM responsibility (P1)]

Role calibration
  - Meets the scope bar: "Own tasks within a defined component"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Scope)]
  - Meets the autonomy bar: "Close supervision; work reviewed frequently"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Autonomy)]
  - Meets the complexity bar: "Routine problems with known solutions"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Complexity)]
  - Meets the impact bar: "Own deliverables"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Impact)]
  - Meets the decision rights bar: "Few independent decisions; escalates the rest"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Decision rights)]
  - Meets the leadership bar: "None — building the craft"  →  ⟨target⟩ by ⟨date⟩   [source: level dimension (Leadership)]